Low Risk

rate_service

Rate a completed escrow. After escrow_release, rate the seller's service quality (1-5 stars). This builds the reputation data that makes PayCrow's trust scores meaningful over time. Both sides can rate: buyer rates seller's service quality, seller rates buyer's conduct. Ratings are on-chain and p...

Part of the Paycrow server.

rate_service 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 rate_service to retrieve information from Paycrow 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 rate_service 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": {
    "rate_service": {}
  }
}

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

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so rate_service 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 rate_service tool do? +

Rate a completed escrow. After escrow_release, rate the seller's service quality (1-5 stars). This builds the reputation data that makes PayCrow's trust scores meaningful over time. Both sides can rate: buyer rates seller's service quality, seller rates buyer's conduct. Ratings are on-chain and permanent — they feed directly into trust scoring.. It is categorised as a Read tool in the Paycrow MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on rate_service? +

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

What risk level is rate_service? +

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

Can I rate-limit rate_service? +

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

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

rate_service is provided by the Paycrow MCP server (paycrow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Paycrow tool call.

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