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crow_media_refresh

Trigger an immediate feed refresh for one or all sources

How to control crow_media_refresh ↓

What crow_media_refresh does on Crow

AI agents invoke crow_media_refresh to trigger actions in Crow. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

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Why crow_media_refresh needs a policy

The verb 'Trigger' combined with 'immediate feed refresh' describes executing an operation that causes external effects (refreshing feeds), which depends on the arguments (one source vs. all sources). This is an Execute action rather than Read because it actively triggers operations rather than passively querying data.

From the tool's definition Tool name 'crow_media_refresh' with description 'Trigger an immediate feed refresh for one or all sources' indicates action triggering on external systems (feed sources).

Documented attack patterns abuse exactly the kind of access crow_media_refresh gives an agent:

How to control crow_media_refresh

PolicyLayer is an MCP gateway — it sits between your AI agents and Crow, and nothing reaches the server without passing your rules. This is the rule we recommend for crow_media_refresh:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "crow_media_refresh": {
      "limits": [
        {
          "counter": "crow_media_refresh_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

crow_media_refresh stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Crow — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Questions about crow_media_refresh

What does the crow_media_refresh tool do? +

Trigger an immediate feed refresh for one or all sources. It is categorised as a Execute tool in the Crow MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on crow_media_refresh? +

Register the Crow MCP server in PolicyLayer and add a rule for crow_media_refresh: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Crow. Nothing to install.

What risk level is crow_media_refresh? +

crow_media_refresh is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit crow_media_refresh? +

Yes. Add a rate_limit block to the crow_media_refresh rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block crow_media_refresh completely? +

Set action: deny in the PolicyLayer policy for crow_media_refresh. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides crow_media_refresh? +

crow_media_refresh is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Crow tool call.

Start from Crow, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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