Low Risk

query_commitment

Query verified behavioral commitment data for a domain. Returns aggregated signals: unique verified visitors, repeat visit rate, and average time spent. These prove real human engagement — harder to fake than reviews or content.

Part of the Commit — Supply Chain Risk Scoring server.

query_commitment 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 query_commitment to retrieve information from Commit — Supply Chain Risk Scoring 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 query_commitment 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": {
    "query_commitment": {}
  }
}

See the full Commit — Supply Chain Risk Scoring policy for all 11 tools.

Get this rule live on your own Commit — Supply Chain Risk Scoring 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 query_commitment 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 query_commitment only ever does what you allow.

SECURE COMMIT — SUPPLY CHAIN RISK SCORING →

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

What does the query_commitment tool do? +

Query verified behavioral commitment data for a domain. Returns aggregated signals: unique verified visitors, repeat visit rate, and average time spent. These prove real human engagement — harder to fake than reviews or content.. It is categorised as a Read tool in the Commit — Supply Chain Risk Scoring MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on query_commitment? +

Register the Commit — Supply Chain Risk Scoring MCP server in PolicyLayer and add a rule for query_commitment: 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 Commit — Supply Chain Risk Scoring. Nothing to install.

What risk level is query_commitment? +

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

Can I rate-limit query_commitment? +

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

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

query_commitment is provided by the Commit — Supply Chain Risk Scoring MCP server (proof-of-commitment). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Commit — Supply Chain Risk Scoring tool call.

Deterministic rules across all 11 Commit — Supply Chain Risk Scoring tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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