compare_eval_runs

Compare two eval runs to decide whether a change should ship. Returns side-by-side scores and a deploy/revert recommendation. Rule: no change ships without an eval improvement.

SERVERNodebench SOURCEnodebench-mcp
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-homenshum-nodebench/compare-eval-runs.md

What compare_eval_runs does on Nodebench

AI agents call compare_eval_runs to retrieve information from Nodebench without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why compare_eval_runs is rated Low

The tool compares evaluation run data and returns scores with a recommendation. It does not execute, modify, or delete anything — it reads and analyzes existing eval run results to produce a comparison output. The deploy/revert recommendation is advisory only, not an action itself.

From the tool's definition Compare two eval runs to decide whether a change should ship. Returns side-by-side scores and a deploy/revert recommendation.

Questions about compare_eval_runs

What does the compare_eval_runs tool do? +

Compare two eval runs to decide whether a change should ship. Returns side-by-side scores and a deploy/revert recommendation. Rule: no change ships without an eval improvement. It is categorised as a Read tool in the Nodebench MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on compare_eval_runs? +

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

What risk level is compare_eval_runs? +

compare_eval_runs is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit compare_eval_runs? +

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

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

compare_eval_runs is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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