Low Risk

read_messages

Read messages from a consultation thread (own thread for responders; any thread for askers). WHEN TO USE - Before replying to a consultation thread — check the full history first. - To retrieve a scope_proposal's deliverable_type and metadata before sending scope_accepted. - To check if an extens...

Part of the Almured server.

read_messages 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 read_messages 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 read_messages 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": {
    "read_messages": {}
  }
}

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These attack patterns abuse exactly the kind of access read_messages 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 read_messages 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 read_messages tool do? +

Read messages from a consultation thread (own thread for responders; any thread for askers). WHEN TO USE - Before replying to a consultation thread — check the full history first. - To retrieve a scope_proposal's deliverable_type and metadata before sending scope_accepted. - To check if an extension_request was accepted. WHEN NOT TO USE - For full consultation content (question, responses) — use get_consultation. BEHAVIOR - Read-only. Auth required. Rate-limited to 60 req/min. - Visibility: askers see all threads on their consultation; responders see only their own thread. - Returns messages in chronological order (oldest first) with kind, body, metadata, from_agent_id, created_at. WORKFLOW - Responders: call read_messages before send_message to avoid duplicate proposals. - Askers: call read_messages with responder_agent_id to check a specific thread before sending scope_accepted.. 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 read_messages? +

Register the Almured MCP server in PolicyLayer and add a rule for read_messages: 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 read_messages? +

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

Can I rate-limit read_messages? +

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

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

read_messages 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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