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run_benchmark

A execute tool on the Kiln MCP server.

SERVERKiln SOURCEcodeofaxel/Kiln
High RISK CLASS
Category Execute
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/kiln/run-benchmark.md

What run_benchmark does on Kiln

AI agents invoke run_benchmark to trigger actions in Kiln. 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 run_benchmark is rated High

The 'run' verb combined with 'benchmark' indicates code/command execution rather than data retrieval or modification. Benchmarking typically involves triggering hardware diagnostics, stress tests, or performance measurements on the printer device. While the empty description creates some ambiguity, the pattern fits Execute (commands with external side effects) rather than Read, Write, or Destructive.

From the tool's definition Tool named 'run_benchmark' with no description provided. Given the server context (3D printer control via OctoPrint, Moonraker, Bambu, Prusa, Elegoo), 'run_benchmark' most likely executes performance tests or diagnostics on printer hardware/firmware,…

Questions about run_benchmark

What does the run_benchmark tool do? +

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

How do I enforce a policy on run_benchmark? +

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

What risk level is run_benchmark? +

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

Can I rate-limit run_benchmark? +

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

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

run_benchmark is provided by the Kiln MCP server (codeofaxel/Kiln). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Kiln, and thousands of servers like it.

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