Low Risk

get_rankings

Get TrustBench liveness rankings for x402 providers by capability. Returns a scored list of providers with latency and success-rate telemetry. Methodology note: scores are derived from HEAD-probe liveness checks (3 samples from one host), not a rigorous benchmark. See trustbench.io/methodology. O...

Part of the TrustBench server.

get_rankings 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 get_rankings to retrieve information from TrustBench 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 get_rankings 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": {
    "get_rankings": {}
  }
}

See the full TrustBench policy for all 3 tools.

Get this rule live on your own TrustBench 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 get_rankings 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 get_rankings 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 get_rankings tool do? +

Get TrustBench liveness rankings for x402 providers by capability. Returns a scored list of providers with latency and success-rate telemetry. Methodology note: scores are derived from HEAD-probe liveness checks (3 samples from one host), not a rigorous benchmark. See trustbench.io/methodology. Output: returns a JSON array. Each object has name (string, provider name), score (number 0-100, composite liveness score), latency_p50 (number, ms), success_rate (number 0.0-1.0, last 7 days), endpoint (string, URL), capabilities (array of strings).. It is categorised as a Read tool in the TrustBench MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_rankings? +

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

What risk level is get_rankings? +

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

Can I rate-limit get_rankings? +

Yes. Add a rate_limit block to the get_rankings 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_rankings completely? +

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

get_rankings is provided by the TrustBench MCP server (@trustbench/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every TrustBench tool call.

Deterministic rules across all 3 TrustBench tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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