knitbrain_self_check · Knitbrain MCP: Risk & Policy

WHAT IT DOES

What knitbrain_self_check does on Knitbrain

AI agents invoke knitbrain_self_check to trigger actions in Knitbrain. 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 knitbrain_self_check needs a policy

The description indicates this tool executes an internal diagnostic or validation process ('runs the brain'). This is an active execution of a process rather than a passive read. The description is sparse, lowering confidence, but 'runs' clearly implies execution.

From the tool's definition 'runs the brain' — the tool actively executes a self gap-check process described as a 'keystone' operation

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

knitbrain_self_check Rate-limited

knitbrain_self_check 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": {
    "knitbrain_self_check": {
      "limits": [
        {
          "counter": "knitbrain_self_check_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 Knitbrain, so you can run agents against it safely.

FAQ

Questions about knitbrain_self_check

What does the knitbrain_self_check tool do? +

Self gap-check (keystone): runs the brain. It is categorised as a Execute tool in the Knitbrain MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on knitbrain_self_check? +

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

What risk level is knitbrain_self_check? +

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

Can I rate-limit knitbrain_self_check? +

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

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

knitbrain_self_check is provided by the Knitbrain MCP server (pdgit12/knitbrain). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.