Low Risk

detect_repeated_questions

Analyze causal_events to find patterns where the user/agent asks the same strategic question repeatedly. Uses Jaccard similarity on summary text to cluster repeated queries.

Part of the Nodebench server.

detect_repeated_questions is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call detect_repeated_questions to retrieve information from Nodebench without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though detect_repeated_questions only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "detect_repeated_questions": {}
  }
}

See the full Nodebench policy for all 724 tools.

Get this rule live on your own Nodebench server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access detect_repeated_questions gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so detect_repeated_questions only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the detect_repeated_questions tool do? +

Analyze causal_events to find patterns where the user/agent asks the same strategic question repeatedly. Uses Jaccard similarity on summary text to cluster repeated queries.. 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 detect_repeated_questions? +

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

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

Can I rate-limit detect_repeated_questions? +

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

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

detect_repeated_questions 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.

Enforce policy on every Nodebench tool call.

Deterministic rules across all 724 Nodebench tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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