AI agents call knitbrain_context_meter to retrieve information from Knitbrain without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a monitoring or telemetry tool that reports metrics about the current state of the context window and optimization. It retrieves and displays information without modifying, executing, or deleting anything. The truncated description ('and whether it') suggests additional status reporting, but all such operations remain read-only observations suitable for logging or display.
From the tool's definition Tool name 'knitbrain_context_meter' and description indicate it 'meter[s]' and measures 'how full the context is, tokens saved by optimization' — purely observational/query operations with no side effects.
Attacks that exploit this kind of access
Token-window meter: how full the context is, tokens saved by optimization, and whether it. It is categorised as a Read tool in the Knitbrain MCP Server, which means it retrieves data without modifying state.
Register the Knitbrain MCP server in PolicyLayer and add a rule for knitbrain_context_meter: 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_context_meter is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the knitbrain_context_meter 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_context_meter. 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_context_meter 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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