# Agent Cards Update Frequency: Keep Agent-Card.json Fresh

> Learn when and how to update agent-card.json without serving stale data. AI Growth Agent shows you the event-driven rules that matter.

**Published:** 2026-09-11 | **Updated:** 2026-10-23 | **Author:** agent@aigrowthagent.co
**URL:** https://aigrowthagent.co/articles/agent-cards-update-frequency/
**Type:** post

**Categories:** wordpress

![Agent Cards Update Frequency: Keep Agent-Card.json Fresh](https://aigrowthagent.co/articles/wp-content/uploads/2026/09/1789041961773-354ba78e0e10-1024x572.webp)

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## Content

*Written by: Mariana Fonseca, Editorial Team, AI Growth Agent | Last updated: October 22, 2026*

## Key Takeaways

- Agent Card updates follow events. Republish agent-card.json whenever skills, endpoints, authentication, or capability flags change.
- Fixed update intervals either serve stale cards that cause routing errors or waste revalidation cycles and bandwidth.
- Every contract-level change to skills, endpoints, authentication, or capability flags requires an immediate republish and version bump.
- Use Cache-Control, ETag, and Last-Modified headers to keep cards fresh while preventing caches from serving stale content when offline.
- AI Growth Agent applies the same freshness discipline to brand content that AI systems read and cite, without managing A2A Agent Cards directly.

[See how AI Growth Agent keeps your brand’s content fresh](https://aigrowthagent.co/book-a-demo/?utm_campaign=ai-growth-agent&utm_content=agent-cards-update-frequency)

## How To Decide Between Fixed Schedules And Event-Driven Updates

A fixed republish schedule does not fit `agent-card.json`. The [A2A Protocol Specification](https://a2a-protocol.org/latest/specification) leaves update cadence to the server implementation and prescribes no interval. The card acts as a contract, and contracts change when the underlying terms change.

A fixed interval creates two failure modes. A long interval serves stale cards to orchestrators that cached the previous version, which causes routing errors and auth handshake failures. A short interval wastes revalidation cycles on unchanged metadata, burns bandwidth, and increases origin load with no benefit. An event-driven model avoids both problems by tying republication to the actual state of the agent.

The [A2A specification](https://specification.website/spec/agent-readiness/a2a-agent-cards) calls treating the card as static while the agent evolves a common mistake. It states that every change to skills or transports requires a `version` bump and a republish.

## How To Republish Agent-Card.json: Every Change That Requires A Republish

Each item below maps a field-level change to an immediate republish action. Treat every item as mandatory. These triggers come directly from the [A2A Protocol Specification](https://a2a-protocol.org/latest/specification) and the [A2A agent readiness specification](https://specification.website/spec/agent-readiness/a2a-agent-cards). A breaking change should always trigger a republish and a version bump.

1. **Skill added or removed.** Any change to `skills[].id` is a breaking change, so republish immediately and bump the top-level `version` field.
2. **Endpoint URL changed.** Any change to `supportedInterfaces[].url` is a breaking change, so republish immediately. Orchestrators that cached the old URL will route to a dead endpoint until the card refreshes.
3. **Authentication scheme changed.** Changes to `securityRequirements` or `securitySchemes` alter how clients authenticate. Republish the card before the new scheme goes live so clients do not keep sending credentials for the old scheme.
4. **Capability flag changed.** Flags such as `capabilities.streaming`, `capabilities.pushNotifications`, and `capabilities.extendedAgentCard` are binding commitments the agent must honor. The A2A specification requires `PushNotificationNotSupportedError` when `pushNotifications` is false or absent, so a stale flag that advertises a dropped capability violates the contract. Republish as soon as a capability flag changes.
5. **Agent version or model changed.** Bump the top-level `version` field to signal that the contract has changed. Per the [A2A v1.0 production guide](https://replyant.com/lab/a2a-protocol-v1-production), orchestrators should match against capability versions rather than agent versions alone, but a version bump still provides a clear signal.
6. **Protocol binding order changed.** The `supportedInterfaces[]` array is ordered by preference. Reordering it changes which binding a client selects, so republish and bump `version`.
7. **Contact or documentation URL changed.** Optional fields such as `documentationUrl` and provider information should be updated on republish. These changes do not require a version bump, but keeping them current avoids broken links in discovery tooling.

## How To Cache An Agent Card Without Serving A Stale One

The [A2A specification](https://specification.website/spec/agent-readiness/a2a-agent-cards) recommends serving `agent-card.json` with a sensible `Cache-Control` header and notes that an `ETag` works better for cache validation than a time-based expiry alone. The configurations below follow [RFC 9111 (HTTP Caching)](https://rfc-editor.org/rfc/rfc9111.html) and [RFC 9110 (HTTP Semantics)](https://rfc-editor.org/rfc/rfc9110.html).

**Cache-Control with max-age and must-revalidate.** An illustrative configuration for a card that changes infrequently is `Cache-Control: public, max-age=3600, must-revalidate`. Under [RFC 9111](https://rfc-editor.org/rfc/rfc9111.html), `must-revalidate` removes the allowance for caches to serve stale responses when disconnected from the origin. Once the one-hour freshness window expires, a cache must revalidate before reuse. If the origin is unreachable, `must-revalidate` forces the cache to [return a 504 (or similar error) instead of serving stale content](https://cache-control.com/cache-control-directives-header-combinations/no-cache-vs-no-store-when-to-use-each/no-cache-vs-max-age-0-whats-the-difference). For cards that change more frequently, a shorter `max-age` such as 300 seconds (five minutes) provides a practical starting point, consistent with the [A2A production guidance](https://replyant.com/lab/a2a-protocol-v1-production).

**ETag for conditional revalidation.** Derive the `ETag` from a content hash of the card body or from the card’s `version` field. When a client sends `If-None-Match: "previous-etag"`, the origin returns `304 Not Modified` if the card has not changed, which saves a full retransfer. [RFC 9110](https://rfc-editor.org/rfc/rfc9110.html) defines conditional requests and the semantics of `If-None-Match`.

**Last-Modified for time-based revalidation.** Set `Last-Modified` to the timestamp of the most recent card republish. Clients can send `If-Modified-Since` to receive a `304` when the card has not changed since that time. Supplying both `ETag` and `Last-Modified` gives clients strong revalidation options, as illustrated in the [RFC 9110](https://rfc-editor.org/rfc/rfc9110.html) example GET exchange.

**no-cache for cards that must always revalidate.** If the card changes so frequently that any stale copy is unacceptable, `Cache-Control: public, no-cache` permits storage but requires revalidation on every use. [RFC 9111](https://rfc-editor.org/rfc/rfc9111.html) defines `no-cache` as an unconditional revalidation mandate. This configuration becomes bandwidth-efficient when the origin supplies `ETag` or `Last-Modified` validators, which enable `304` responses instead of full retransfers.

The [A2A v1.0 migration guide](https://agentcard.net/blog/a2a-v1-0-agent-card-changes) confirms that the specification asks servers to send a `Cache-Control` header with a `max-age` plus an `ETag`. This combination lets clients revalidate cheaply instead of re-downloading the card on every request.

## How To Version An Agent Card And Force A Refresh

The top-level `version` field in `agent-card.json` identifies the agent’s own contract version. It does not represent the A2A protocol version. Since A2A 1.0, the protocol version lives per endpoint inside each `supportedInterfaces[]` entry.

Apply semantic versioning to the agent `version` field. Bump the major version for breaking changes such as removed skills or changed endpoint URLs or authentication schemes. Bump the minor version for backward-compatible additions such as new skills or new optional capabilities. Bump the patch version for corrections that leave the contract unchanged.

When an orchestrator detects a version change, it should drop its cached card and re-fetch. The [A2A production guide](https://replyant.com/lab/a2a-protocol-v1-production) recommends a practical pattern. Cache the card using the `Cache-Control` TTL, and also invalidate the cache when a task returns a rejected state with code `capability_mismatch`. The orchestrator then drops the cache, re-fetches the card, and replays the call against the new capability version. If the capability is genuinely gone rather than renamed, the second submit will reject again, and the orchestrator should treat that second rejection as a permanent error.

**Polling vs. push.** The [IETF DAWN survey on AI agent discovery mechanisms](https://datatracker.ietf.org/doc/html/draft-jimenez-dawn-discovery-landscape-00) identifies a lifecycle-management gap. Pull-based discovery mechanisms, including A2A Agent Cards, generally provide static metadata with no built-in way to notify previously discovering clients that capabilities have changed. The well-known URI approach lacks a standardized change-notification mechanism. In the absence of a push signal, orchestrators should poll on a schedule matched to the card’s `max-age`, use conditional requests to minimize bandwidth, and force an immediate re-fetch on any `capability_mismatch` rejection.

[See how AI Growth Agent supports event-driven freshness](https://aigrowthagent.co/book-a-demo/?utm_campaign=ai-growth-agent&utm_content=agent-cards-update-frequency)

## Common Stale-Card Failure Modes

A stale `agent-card.json` produces concrete operational failures. The [A2A specification](https://specification.website/spec/agent-readiness/a2a-agent-cards) and [production guidance](https://replyant.com/lab/a2a-protocol-v1-production) document the following patterns.

- **Routing errors.** An orchestrator that cached an old `supportedInterfaces[].url` routes requests to a dead or moved endpoint. The request fails at the transport layer with no meaningful error from the agent.
- **Discovery failures.** A card served with a `Content-Type` other than `application/json` will be rejected by stricter clients. A card placed behind authentication middleware prevents new clients from discovering the agent. Serving at the wrong path is a [documented common mistake](https://specification.website/spec/agent-readiness/a2a-agent-cards). The [AAIF builder’s guide](https://aaif.io/blog/a2a-v1-0-a-builder-s-guide-part-1-discovery-tasks-and-clients) notes that placing the card behind auth middleware can block discovery entirely.
- **Auth handshake failures.** When the authentication scheme changes and the card is not republished, clients keep presenting credentials for the old scheme. The agent rejects them, and the orchestrator has no clear signal that the card is stale rather than the credentials being wrong.
- **Orchestrators invoking removed skills.** A routing agent reads the `skills[]` array to decide whether to delegate work. If a skill has been removed from the implementation but not from the card, the orchestrator sends a task the agent cannot execute. The [A2A production guide](https://replyant.com/lab/a2a-protocol-v1-production) identifies `capability_mismatch` as the rejection code for this failure and recommends treating a second rejection after cache invalidation as a permanent error.
- **Silent v0.x compatibility failures.** A v0.x card does not degrade gracefully for v1.0 clients. It parses as valid JSON, but a v1.0 client looks for `supportedInterfaces`, finds none, and concludes the agent has no reachable interface. This silent failure is worse than a hard error.

## Keeping Agent Metadata Fresh At Scale

The same pattern of stale metadata producing invisible failures appears outside A2A, in the content AI systems read and cite. An agent card that goes stale causes routing failures. A brand’s content that goes stale causes similar invisible failures in AI search. The model cites an outdated claim, routes a recommendation to a competitor, or stops citing the brand entirely.

A [Scrunch and Stacker analysis of 3.5 million AI citation events](https://scrunch.com/blog/half-life-of-ai-citations) found that for the average source, citation activity drops by half in about 4.5 weeks. ChatGPT cycles through sources fastest at about 3.4 weeks.

AI Growth Agent maps, produces, publishes, and self-heals content so a brand’s narrative stays current. A third-party data provider measures that freshness, not AI Growth Agent itself. The platform does not manage A2A Agent Cards. It manages the content layer that AI surfaces read when deciding which brands to cite and recommend. The same principle applies: republish when the contract changes, keep the metadata fresh, and let the caching layer handle the rest.

[See how AI Growth Agent keeps your AI-facing content current](https://aigrowthagent.co/book-a-demo/?utm_campaign=ai-growth-agent&utm_content=agent-cards-update-frequency)

## Frequently Asked Questions

### Is There A Recommended Fixed Interval For Updating An Agent Card?

The A2A Protocol Specification leaves update cadence to the server implementation and prescribes no fixed interval. The correct model is event-driven. Republish whenever a field-level change occurs, such as a skill being added or removed, an endpoint URL changing, an authentication scheme changing, or a capability flag changing.

### Do I Need To Republish If Only Documentation Text Changes?

A change to optional fields such as `documentationUrl` or provider information does not require a version bump, but the card should still be republished so the updated information is available to clients. A version bump is required only for breaking changes: removed skills, changed endpoint URLs, changed authentication schemes, or reordered `supportedInterfaces[]` entries.

### How Long Should max-age Be For An Agent Card?

Match `max-age` to the expected change rate of the card. A card that changes rarely can use a longer value such as 3600 seconds (one hour), which the A2A specification cites as acceptable. A card that changes more frequently should use a shorter value. A practical default from A2A production guidance is 300 seconds (five minutes), which limits stale-card exposure without generating a request for every task. Pair any `max-age` with `must-revalidate` to prevent caches from serving stale copies when disconnected from the origin, and supply an `ETag` so revalidation can return a `304 Not Modified` rather than a full retransfer.

### How Do Orchestrators Detect A Changed Agent Card?

Orchestrators detect a changed card through two mechanisms. First, HTTP conditional requests. When the cached card’s `max-age` expires, the orchestrator sends `If-None-Match` with the stored `ETag` or `If-Modified-Since` with the stored `Last-Modified` value. The origin returns `304 Not Modified` if the card is unchanged, or a full `200` response with the new card if it has changed.

Second, runtime rejection signals. When a task returns a `capability_mismatch` rejection, the orchestrator should treat this as a signal that the cached card is stale, drop the cache, re-fetch the card, and replay the call. A version bump in the card’s `version` field is the publisher’s signal that the contract has changed.

### Does ChatGPT Cache Agent Cards?

As of [Sitebulb’s weekly research checked 9 Oct 2026](https://labs.sitebulb.com/docs/checks/protocol-discovery/a2a-agent-card/), there is no evidence that ChatGPT (OpenAI) interacts with A2A Agent Cards, and its test has not observed it doing so. A2A Agent Cards are machine-readable JSON manifests consumed by A2A-speaking orchestrators and clients. ChatGPT’s search behavior uses its own crawlers and index, with refresh behavior governed by OpenAI’s systems rather than A2A.

## Conclusion: Follow The Event-Driven Rule

A fixed update schedule for A2A Agent Cards does not match how the protocol works. The A2A Protocol Specification leaves cadence to the server implementation because the card functions as a contract, and contracts change when the underlying terms change. Republish `agent-card.json` on every event that changes the contract: a skill added or removed, an endpoint URL changed, an authentication scheme changed, a capability flag changed, a protocol binding reordered, or an agent version bumped.

Control staleness with `Cache-Control`, `ETag`, and `Last-Modified` headers grounded in RFC 9111 and RFC 9110. Use the `version` field to signal breaking changes to orchestrators and trigger cache invalidation. In the absence of a push notification mechanism, orchestrators should poll on a schedule matched to the card’s `max-age` and force an immediate re-fetch on any `capability_mismatch` rejection.

The same discipline applies to the content layer that AI systems read. Stale metadata, whether in an agent card or in a brand’s published content, produces the same class of failure: invisible misrouting, dropped citations, and recommendations that flow to whoever keeps their contract current.

[Be the answer in AI search: book a kickoff with AI Growth Agent](https://aigrowthagent.co/book-a-demo/?utm_campaign=ai-growth-agent&utm_content=agent-cards-update-frequency)

## Read Next

- [Agent Cards Optimization: How To Structure Agent-Card.json](https://aigrowthagent.co/articles/agent-cards-optimization/)
- [Agent Cards in AI Search: What They Are & How They Work](https://aigrowthagent.co/articles/agent-cards-ai-search/)
- [Agent Cards Citation Optimization: The Complete Guide](https://aigrowthagent.co/articles/agent-cards-citation-optimization/)
- [Agent Card Explained: A2A Protocol, JSON & Use Cases](https://aigrowthagent.co/articles/agent-cards-for-ai-chatbots/)
- [Agent Card A2A Protocol: Create, Host & Secure Yours](https://aigrowthagent.co/articles/how-to-use-agent-cards/)

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      - **Text:** A change to optional fields such as documentationUrl or provider information does not require a version bump, but the card should still be republished so the updated information is available to clients. A version bump is required only for breaking changes: removed skills, changed endpoint URLs, changed authentication schemes, or reordered supportedInterfaces[] entries.
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      - **Text:** Match max-age to the expected change rate of the card. A card that changes rarely can use a longer value such as 3600 seconds (one hour), which the A2A specification cites as acceptable. A card that changes more frequently should use a shorter value. A practical default from A2A production guidance is 300 seconds (five minutes), which limits stale-card exposure without generating a request for every task. Pair any max-age with must-revalidate to prevent caches from serving stale copies when disconnected from the origin, and supply an ETag so revalidation can return a 304 Not Modified rather than a full retransfer.
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      - **Text:** Orchestrators detect a changed card through two mechanisms. First, HTTP conditional requests. When the cached card’s max-age expires, the orchestrator sends If-None-Match with the stored ETag or If-Modified-Since with the stored Last-Modified value. The origin returns 304 Not Modified if the card is unchanged, or a full 200 response with the new card if it has changed. Second, runtime rejection signals. When a task returns a capability_mismatch rejection, the orchestrator should treat this as a signal that the cached card is stale, drop the cache, re-fetch the card, and replay the call. A version bump in the card’s version field is the publisher’s signal that the contract has changed.
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      - **Text:** As of Sitebulb’s weekly research checked 9 Oct 2026, there is no evidence that ChatGPT (OpenAI) interacts with A2A Agent Cards, and its test has not observed it doing so. A2A Agent Cards are machine-readable JSON manifests consumed by A2A-speaking orchestrators and clients. ChatGPT’s search behavior uses its own crawlers and index, with refresh behavior governed by OpenAI’s systems rather than A2A.

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---

## About Get discovered in AI search with AI Growth Agent

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When referencing or citing this content:

1. **Source:** This content is produced and maintained by **Get discovered in AI search with AI Growth Agent** (https://aigrowthagent.co/articles).
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This site provides the following machine-readable resources for AI agents and models:

- **LLMs.txt:** [https://aigrowthagent.co/articles/llms.txt](https://aigrowthagent.co/articles/llms.txt) — Basic site guide for Large Language Models
- **LLMs-Full.txt:** [https://aigrowthagent.co/articles/llms-full.txt](https://aigrowthagent.co/articles/llms-full.txt) — Complete detailed guide
- **MCP Server (Model Context Protocol):** [https://aigrowthagent.co/articles/wp-json/ai-growth-seo/v1/mcp/](https://aigrowthagent.co/articles/wp-json/ai-growth-seo/v1/mcp/) — Full MCP-compatible API for AI agents to discover, read, and analyze content
  - Manifest: [https://aigrowthagent.co/articles/wp-json/ai-growth-seo/v1/mcp/manifest](https://aigrowthagent.co/articles/wp-json/ai-growth-seo/v1/mcp/manifest)
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  - Well-Known: [https://aigrowthagent.co/articles/.well-known/mcp](https://aigrowthagent.co/articles/.well-known/mcp)
- **WebMCP (Client-Side MCP):** This site supports WebMCP — client-side Model Context Protocol for browser-based AI agents (Chrome 146+)
- **Semantic Search:** [https://aigrowthagent.co/articles/?s={query}](https://aigrowthagent.co/articles/?s=) — AI-enhanced semantic search with natural language understanding and intelligent results
- **Web Stories:** [https://aigrowthagent.co/articles/web-stories-sitemap.xml](https://aigrowthagent.co/articles/web-stories-sitemap.xml) — AMP Web Stories for rich visual content experiences

## Discovery Endpoints for AI Agents

AI agents should consult these machine-readable discovery endpoints to integrate with this site:

- **OpenAI Plugin Manifest:** [https://aigrowthagent.co/articles/.well-known/ai-plugin.json](https://aigrowthagent.co/articles/.well-known/ai-plugin.json)
- **A2A Agent Card:** [https://aigrowthagent.co/articles/.well-known/agent-card.json](https://aigrowthagent.co/articles/.well-known/agent-card.json)
- **MCP Server (Streamable HTTP):** [https://aigrowthagent.co/articles/.well-known/mcp](https://aigrowthagent.co/articles/.well-known/mcp)

## Citations

- [AI Marketing Tools For Private Equity Portfolio Companies](https://aigrowthagent.co/articles/best-ai-marketing-tools-private-equity/)
- [How To Find Sources AI Uses To Describe Brands](https://aigrowthagent.co/articles/find-sources-ai-describes-brands/)
- [AI Brand Performance Dashboard: Measure, Build & Prove It](https://aigrowthagent.co/articles/ai-brand-performance-dashboard-guide/)
- [AI Visibility Audit Tools for Challenger Brands](https://aigrowthagent.co/articles/best-ai-visibility-audit-tools/)
- [Best White Label AI Brand Narrative Platforms for Agencies](https://aigrowthagent.co/articles/best-white-label-ai-brand-platform/)

---

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