AI agents invoke axle_check to trigger actions in Axle. 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.
Based on the server description and sibling tools, 'axle_check' likely validates or checks Lean 4 theorems/proofs against a remote API. 'Check' operations typically fall under Read or Execute. Given that it likely triggers remote API calls to validate code (similar to axle_repair_proofs, axle_disprove), Execute is the most appropriate category. However, confidence is low due to the empty description.
From the tool's definition Tool name 'axle_check' and server context involving Lean 4 proof engineering via a remote API; description is empty and uninformative.
Attacks that exploit this kind of access
axle_check. It is categorised as a Execute tool in the Axle MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Axle MCP server in PolicyLayer and add a rule for axle_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 Axle. Nothing to install.
axle_check is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the axle_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.
Set action: deny in the PolicyLayer policy for axle_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.
axle_check is provided by the Axle MCP server (vilin97/axle-mcp). 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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