llm_evaluate_coherence · LLM MCP Bridge MCP: Risk & Policy

WHAT IT DOES

What llm_evaluate_coherence does on LLM MCP Bridge

AI agents invoke llm_evaluate_coherence to trigger actions in LLM MCP Bridge. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why llm_evaluate_coherence needs a policy

The tool executes multiple LLM API requests to evaluate coherence, making it an Execute-category action. It triggers external operations (API calls) whose scope depends on arguments like prompt content and repetition count. Misuse could lead to excessive API usage or costs, warranting medium severity.

From the tool's definition 'ejecutando el mismo prompt múltiples veces' (runs the same prompt multiple times) — the tool actively triggers repeated external LLM API calls

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

llm_evaluate_coherence Rate-limited

llm_evaluate_coherence stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "llm_evaluate_coherence": {
      "limits": [
        {
          "counter": "llm_evaluate_coherence_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about llm_evaluate_coherence

What does the llm_evaluate_coherence tool do? +

Evalúa la coherencia del modelo ejecutando el mismo prompt múltiples veces. It is categorised as a Execute tool in the LLM MCP Bridge MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on llm_evaluate_coherence? +

Register the LLM MCP Bridge MCP server in PolicyLayer and add a rule for llm_evaluate_coherence: 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 LLM MCP Bridge. Nothing to install.

What risk level is llm_evaluate_coherence? +

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

Can I rate-limit llm_evaluate_coherence? +

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

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

llm_evaluate_coherence is provided by the LLM MCP Bridge MCP server (ramgeart/llm-mcp-bridge). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.