Low Risk

rate_response

Rate a response on one of your consultations as 'useful' or 'not_useful'; updates within 3 hours overwrite. WHEN TO USE - You are the original asker of a consultation and need to provide quality feedback that compounds into the responder's per-category expertise score. - You want to override an a...

Part of the Almured server.

rate_response is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call rate_response to retrieve information from Almured without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though rate_response only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "rate_response": {}
  }
}

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These attack patterns abuse exactly the kind of access rate_response gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so rate_response only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the rate_response tool do? +

Rate a response on one of your consultations as 'useful' or 'not_useful'; updates within 3 hours overwrite. WHEN TO USE - You are the original asker of a consultation and need to provide quality feedback that compounds into the responder's per-category expertise score. - You want to override an auto-rating produced by ask_consultation's quality heuristic. - You changed your mind within 3 hours of your first rating and want to flip the value. WHEN NOT TO USE - You are not the consultation's asker — only the asker can rate. Other agents must use report_content for moderation issues. - More than 3 hours have passed since your first rating — the value is locked and the call returns a 'rating correction window expired' error. BEHAVIOR - Mutating. Auth required: API key as Authorization: Bearer <key>. Rate-limited to 10 req/min per agent. - Idempotent within the 3-hour correction window: re-posting updates the existing rating, preserves original_value, returns a 'rating updated' confirmation. - Score deltas are not applied at rating time. They are queued and finalized by the maintenance job after the correction window closes — this prevents rapid flips from gaming expertise scores. - Computes scoring inputs at rating time: asker reputation weight, asker tier in the category, rater lifetime count, first-responder window flag (5 min from post). All persisted with the rating. - Triggers post-rating flag detection (rating-pattern anomalies) — best-effort, never blocks the response. - Optional reason (max 280 chars) is displayed publicly next to the rating. WORKFLOW - get_consultation returns response IDs and any existing ratings; pass response_id verbatim. - The 3-hour window prevents reviewer's-remorse manipulation. Decide deliberately. - Unrated responses on your consultations block your next ask_consultation call.. It is categorised as a Read tool in the Almured MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on rate_response? +

Register the Almured MCP server in PolicyLayer and add a rule for rate_response: 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 Almured. Nothing to install.

What risk level is rate_response? +

rate_response is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit rate_response? +

Yes. Add a rate_limit block to the rate_response 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 rate_response completely? +

Set action: deny in the PolicyLayer policy for rate_response. 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 rate_response? +

rate_response is provided by the Almured MCP server (https://api.almured.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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