Compress a payload (JSON / code / prose) into a token-cheap skeleton. The exact original is stored locally and recoverable via knitbrain_retrieve using the returned ⟨recall:hash⟩. Returns the original unchanged if compression wouldn
AI agents use knitbrain_optimize to create or update resources in Knitbrain — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Knitbrain environment.
This tool compresses a payload and stores the original locally for later retrieval. The primary side effect is a write operation (persisting the original payload to local storage). It is reversible since the original can be recovered, so it does not qualify as Destructive. No code execution or financial operations are involved.
From the tool's definition 'The exact original is stored locally' and 'recoverable via knitbrain_retrieve using the returned ⟨recall:hash⟩' — the tool writes/stores data locally while returning a compressed representation
Attacks that exploit this kind of access
Compress a payload (JSON / code / prose) into a token-cheap skeleton. The exact original is stored locally and recoverable via knitbrain_retrieve using the returned ⟨recall:hash⟩. Returns the original unchanged if compression wouldn. It is categorised as a Write tool in the Knitbrain MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Knitbrain MCP server in PolicyLayer and add a rule for knitbrain_optimize: 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.
knitbrain_optimize is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the knitbrain_optimize 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.
Set action: deny in the PolicyLayer policy for knitbrain_optimize. 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.
knitbrain_optimize 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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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