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get_arc_patrol_status

[FREE] Live status of the AgentPay Arc Agent Patrol: the automated reputation oracle for the Arc ERC-8004 agent registry. Returns how many external agents have registered, how many earned an on-chain x402 verification attestation, how many are auto-retrying unreachable metadata, and the per-agent verdicts with attestation tx links.

The patrol scans every new agent registration, runs a real buyer-side x402 check on its endpoint, and attests verified agents from a separate validator wallet. Public report: x402-agent-pay.com/arc-patrol

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations are absent, so the description carries the full burden of behavioral disclosure. It goes beyond a simple 'get status' by explaining the patrol's process, what the agent performs (buyer-side x402 checks), and what results are returned (counts and per-agent verdicts with tx links). It does not explicitly state 'read-only' or absence of side effects, but the get-status framing and return-value description make that sufficiently clear.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core purpose and then provides useful process context. The second sentence adds meaningful behavioral background rather than fluff, though the 'FREE' marker and public report URL are marginal additions. It remains compact for the amount of context it provides.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a no-parameter status tool with an output schema, the description covers what an agent needs to know to select and invoke it: what status it reports, what counts are included, that per-agent verdicts are returned, and the underlying source process. There is no obvious missing behavioral or invocation detail.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has zero parameters and 100% coverage, so there is nothing for the description to add about parameter behavior. The baseline for zero parameters is 4, and the description appropriately focuses on return content rather than parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as returning live status for the AgentPay Arc Agent Patrol, with a specific verb ('Returns') and a unique resource. It enumerates the exact output categories (registered agents, x402 attestations, retries, per-agent verdicts) and distinguishes this patrol-status tool from sibling tools focused on individual agents or broader data queries.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied: use this when you need the live status of the Arc Agent Patrol. However, there are no explicit when-not-to-use instructions or named alternatives among the many sibling tools, so an agent has to infer selection from the description alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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