codebrain_consensus_generate · CodeBrain MCP: Risk & Policy

WHAT IT DOES

What codebrain_consensus_generate does on CodeBrain

AI agents invoke codebrain_consensus_generate to trigger actions in CodeBrain. 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 codebrain_consensus_generate needs a policy

The tool name suggests it generates code using a consensus mechanism (likely polling multiple LLM outputs). Based on sibling tools, this executes code generation tasks via local LLMs. The empty description lowers confidence. Code generation itself doesn't modify files directly but executes LLM inference; classified as Execute given the pattern of the server's purpose.

From the tool's definition Tool name 'codebrain_consensus_generate' and empty description. Sibling tools include codebrain_generate, codebrain_batch_generate, codebrain_generate_verified — all suggesting code generation via local LLMs.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

codebrain_consensus_generate Rate-limited

codebrain_consensus_generate 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": {
    "codebrain_consensus_generate": {
      "limits": [
        {
          "counter": "codebrain_consensus_generate_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 CodeBrain, so you can run agents against it safely.

FAQ

Questions about codebrain_consensus_generate

What does the codebrain_consensus_generate tool do? +

codebrain_consensus_generate. It is categorised as a Execute tool in the CodeBrain MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on codebrain_consensus_generate? +

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

What risk level is codebrain_consensus_generate? +

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

Can I rate-limit codebrain_consensus_generate? +

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

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

codebrain_consensus_generate is provided by the CodeBrain MCP server (tschonsen/codebrain). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.