reject_prompt_suggestion · Peecai MCP: Risk & Policy

WHAT IT DOES

What reject_prompt_suggestion does on Peecai

AI agents use reject_prompt_suggestion to create or update resources in Peecai — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Peecai environment.

WHY IT NEEDS A POLICY

Why reject_prompt_suggestion needs a policy

The action is reversible—rejecting a suggestion can be undone by accepting it or creating a new suggestion. It modifies data (updates suggestion status) without permanently destroying it. The blast radius is minimal as it only affects suggestion metadata within an analytics/search system. This is a Write-category operation: creates or modifies data reversibly.

From the tool's definition Tool name is 'reject_prompt_suggestion' and description states it will 'Reject a prompt suggestion.' This modifies the state of a suggestion record (marking it as rejected) reversibly.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

reject_prompt_suggestion Rate-limited

reject_prompt_suggestion stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "reject_prompt_suggestion": {
      "limits": [
        {
          "counter": "reject_prompt_suggestion_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Peecai, so you can run agents against it safely.

FAQ

Questions about reject_prompt_suggestion

What does the reject_prompt_suggestion tool do? +

Reject a prompt suggestion. It is categorised as a Write tool in the Peecai MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on reject_prompt_suggestion? +

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

What risk level is reject_prompt_suggestion? +

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

Can I rate-limit reject_prompt_suggestion? +

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

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

reject_prompt_suggestion is provided by the Peecai MCP server (mcp-server-peecai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.