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makememoneynomistakes.ai: ERC-8004 agent reputation and fraud checks

Open Commerce Pathways: routes

pathways_routes
Read-only

Step 1 of Open Commerce Pathways: the paid x402 routes your budget can afford, only from sellers our data clears (LEGIT on both boards, 5+ independent paying customers, verified identity, one Base USDC recipient). Each route has its cost, recipient, how many calls the budget buys, the seller's evidence, the use it serves and fit (why it ranks where it does: a known resale margin and no empty answer in our relay history first; a route whose last bought answer came back empty last, not recommended); filter by use. Then pick routes for pathways_list. We recommend only: your own wallet approves and pays any call you make. Free within the per-IP allowance, then $0.002. Live data only.

Input Schema

NameRequiredDescriptionDefault
useNo
limitNoRoutes to return, 1 to 50 (default 25).
budgetNoYour budget in USDC, above 0 and at most 100 (default 4).

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior5/5

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

Beyond the readOnly/openWorld annotations it discloses the payment model (your own wallet approves and pays any call; this tool itself does not), the free per-IP allowance then $0.002 pricing, that data is live-only, and the ranking rationale including that empty-answer sellers are demoted rather than recommended. Those are exactly the traits annotations cannot express.

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

Conciseness3/5

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

The purpose is front-loaded in the opening clause, but the body is a single dense run-on mixing marketing language ('LEGIT on both boards') with operational facts. The ranking parenthetical in particular requires re-reading.

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?

An output schema exists, so return shape needn't be restated, and the description still previews the interesting fields (cost, recipient, calls bought, evidence, fit). Minor gaps: no guidance on what an empty result means or how limit/pagination interact with ranking.

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?

Schema coverage is 67% and the schema already documents limit and budget with defaults. The description adds meaning the schema lacks: budget is in USDC and is compared against route cost to determine 'how many calls the budget buys', and 'use' is a filter dimension tied to route fit.

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?

States a specific verb+resource pair: it returns the paid x402 routes affordable under a budget, restricted to sellers passing named quality checks. It distinguishes itself from siblings by declaring itself 'Step 1' and pointing to pathways_list as the follow-up.

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?

The sequence is explicit ('Step 1 ... Then pick routes for pathways_list') and 'filter by use' tells the agent how to narrow. It does not state when this tool is the wrong entry point (e.g. if you already have a route, or want seller discovery via find_services), so it stops short of full when/when-not coverage.

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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