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Novarithm Agent Hub: trust and commerce checks

doctor_repair_kit

[PAID $0.02 USDC/call, x402, eip155:8453] Repair kit for another agent: diagnoses it, then returns ready-to-paste files — a complete llms.txt, a valid A2A agent card, the exact x-payment-info block and 402 response declaration that directories require, and the robots.txt rules to unblock GPTBot, ClaudeBot, PerplexityBot and the others. Built on the measured requirements of the public agent directories, not on opinion.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "doctor_repair_kit"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesPublic origin of the agent or API to repair.
nameNoDisplay name to use in the generated files.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden and usefully discloses the $0.02 USDC per-call charge, x402 payment, eip155:8453 network, and diagnose-then-generate flow. "Ready-to-paste files" suggests manual application, but it never explicitly states that the target is only inspected and not modified or what network probing occurs.

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 payment terms and purpose are front-loaded, and the detailed artifact list is informative rather than repetitive. The single dense sentence and closing "not on opinion" claim add some promotional bulk, while "and the others" is imprecise.

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

Completeness4/5

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

For a simple two-parameter tool without an output schema, enumerating the major generated artifacts and disclosing the cost provides enough context to invoke it and anticipate the deliverable. It still lacks response packaging details, failure behavior for unreachable targets, and an explicit read-only or no-deployment guarantee.

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

Parameters3/5

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

Both parameters already have schema descriptions, so the 100% coverage baseline applies. The description reinforces that the target is another agent and that generated files are the deliverable, but adds no URL formatting, validation, or name-defaulting semantics beyond the schema.

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 says it diagnoses another agent and returns concrete repair artifacts: llms.txt, an A2A agent card, payment declarations, and robots.txt rules. That deliverable-focused scope distinguishes it functionally from diagnostic or planning siblings such as doctor_diagnose and doctor_upgrade_plan.

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

Usage Guidelines4/5

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

It gives clear context: use it when another agent needs directory-ready, pasteable remediation files following diagnosis. It does not explicitly say when to prefer doctor_diagnose, doctor_upgrade_plan, or a2a_card_check, so it lacks explicit alternative routing.

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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