Medium Risk

pimea_chat

Send a message in an active Pimea session. Use this to answer Pimea's clarifying questions about the user's marketing situation. You can answer on behalf of the user using context from the conversation when possible. Only ask the user directly if you genuinely lack the information. When the respo...

Risk signalsHandles credentials or secrets (api_key)

Part of the MoltArch server.

pimea_chat can modify MoltArch data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use pimea_chat to create or modify resources in MoltArch. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call pimea_chat repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach MoltArch.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "pimea_chat": {
      "limits": [
        {
          "counter": "pimea_chat_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full MoltArch policy for all 3 tools.

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These attack patterns abuse exactly the kind of access pimea_chat 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 pimea_chat only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the pimea_chat tool do? +

Send a message in an active Pimea session. Use this to answer Pimea's clarifying questions about the user's marketing situation. You can answer on behalf of the user using context from the conversation when possible. Only ask the user directly if you genuinely lack the information. When the response status is "complete", call pimea_get_answer to retrieve the final grounded deliverable. Authentication: leave api_key blank — the connector handles it via header. Only set it as a fallback if the connector cannot send custom headers. Args: session_id: The session UUID from pimea_start_session message: Response to Pimea's question api_key: Optional fallback only. Normally leave blank.. It is categorised as a Write tool in the MoltArch MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on pimea_chat? +

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

What risk level is pimea_chat? +

pimea_chat is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit pimea_chat? +

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

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

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

Enforce policy on every MoltArch tool call.

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