Low Risk

trust_score_query

Full trust score breakdown for an agent address. Aggregates 4 on-chain sources: PayCrow escrow history, ERC-8004 agent identity, Moltbook social karma, and Base chain activity. Returns 0-100 score with per-source details. For a quick go/no-go decision, use trust_gate instead.

Part of the Paycrow server.

trust_score_query 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 trust_score_query 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 trust_score_query 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": {
    "trust_score_query": {}
  }
}

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Get this rule live on your own Paycrow 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 trust_score_query 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 trust_score_query 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 trust_score_query tool do? +

Full trust score breakdown for an agent address. Aggregates 4 on-chain sources: PayCrow escrow history, ERC-8004 agent identity, Moltbook social karma, and Base chain activity. Returns 0-100 score with per-source details. For a quick go/no-go decision, use trust_gate instead.. 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 trust_score_query? +

Register the Paycrow MCP server in PolicyLayer and add a rule for trust_score_query: 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 trust_score_query? +

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

Can I rate-limit trust_score_query? +

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

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

trust_score_query 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.

Deterministic rules across all 10 Paycrow tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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