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review_signal_candidate

Approve or reject a KB-refresh candidate signal. Operator-only. Approved candidates are signed (Ed25519) into the live roadmap_signals KB by the next refresh run; rejected ones are dropped. Controls what becomes grounding truth.

Part of the Doom server.

review_signal_candidate can trigger actions in Doom, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke review_signal_candidate to trigger processes or run actions in Doom. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

review_signal_candidate can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

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

See the full Doom policy for all 11 tools.

Get this rule live on your own Doom server in minutes. PolicyLayer enforces it on every call, before it runs.

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

Browse the full MCP Attack Database →

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

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

What does the review_signal_candidate tool do? +

Approve or reject a KB-refresh candidate signal. Operator-only. Approved candidates are signed (Ed25519) into the live roadmap_signals KB by the next refresh run; rejected ones are dropped. Controls what becomes grounding truth.. It is categorised as a Execute tool in the Doom MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on review_signal_candidate? +

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

What risk level is review_signal_candidate? +

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

Can I rate-limit review_signal_candidate? +

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

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

review_signal_candidate is provided by the Doom MCP server (https://mcp.doomscore.vc). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Doom tool call.

Deterministic rules across all 11 Doom tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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