get_repeat_cognition_metrics

The key compound metric. Measures repeat question rate, manual reconstruction count, packet abandonment rate, delegation-without-restatement rate, and average time-to-useful-output.

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/get-repeat-cognition-metrics.md

WHAT IT DOES

What get_repeat_cognition_metrics does on Nodebench

AI agents call get_repeat_cognition_metrics 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.

RISK

Why get_repeat_cognition_metrics is rated Low

The tool retrieves and measures pre-existing metrics related to cognition performance. The verb 'measures' and the focus on analyzing quantitative data (rates, counts, averages) indicate a pure Read operation that queries existing information without modifying, creating, deleting, or executing any external operations. There is no indication of state changes or irreversible actions.

From the tool's definition 'Measures repeat question rate, manual reconstruction count, packet abandonment rate, delegation-without-restatement rate, and average time-to-useful-output' — this tool retrieves and queries metrics data with no side effects or modifications.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs get_repeat_cognition_metrics safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Nodebench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_repeat_cognition_metrics, this is the rule to start with:

get_repeat_cognition_metrics Allowed

get_repeat_cognition_metrics is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_repeat_cognition_metrics": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Nodebench, apply this rule, and every get_repeat_cognition_metrics call is checked against it from then on.

FAQ

Questions about get_repeat_cognition_metrics

What does the get_repeat_cognition_metrics tool do? +

The key compound metric. Measures repeat question rate, manual reconstruction count, packet abandonment rate, delegation-without-restatement rate, and average time-to-useful-output. 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 get_repeat_cognition_metrics? +

Register the Nodebench MCP server in PolicyLayer and add a rule for get_repeat_cognition_metrics: 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 get_repeat_cognition_metrics? +

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

Can I rate-limit get_repeat_cognition_metrics? +

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

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

get_repeat_cognition_metrics 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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