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

Open Commerce Pathways: run

pathways_run

Step 5 of Open Commerce Pathways: spends one run authorized with pathways_authorize and plans your x402 pathway on our AI model, from our trust and market data. Returns the plan and the exact next x402 calls (from our data, not the model): your own wallet approves and pays each one, straight to the seller. A plan, not advice or a promise of income. Live data only.

Input Schema

NameRequiredDescriptionDefault
tokenYesThe token pathways_authorize returned.
budgetNoYour budget in USDC, above 0 and at most 100 (default 4).
promptYesThe prompt from pathways_prompt, edited or not.
routesYesRoute URLs exactly as pathways_routes returned them: one resells it, two to five bundle them.

Output Schema

NameRequiredDescriptionDefault
noteYes
modelNo
outputYes
pathwayNo
runs_leftNo
next_callsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior5/5

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

Annotations only say readOnlyHint=false and openWorldHint=false; the description adds the material facts an agent needs — that this consumes a paid run, that a separate authorization is required, that the wallet owner must approve and pay each returned x402 call to the seller, and that the plan comes from vendor data rather than the model. It also bounds expectations ('a plan, not advice') and notes 'Live data only.'

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?

Four short sentences, front-loaded with the step number and the core action, then the return shape, then the risk framing. The disclaimer sentence ('A plan, not advice or a promise of income') is marketing-adjacent but does convey a real scope limit, so it mostly earns its place.

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-value detail is not required. The description covers cost, prerequisites, and payment semantics, leaving only minor gaps such as failure/refund behavior when a paid x402 call fails. Adequate-to-strong for a run-consuming planning tool.

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?

Schema coverage is 100%, so the schema already documents token, budget, prompt, and routes in detail. The description reinforces provenance (token from pathways_authorize, prompt from pathways_prompt, routes from pathways_routes) but adds no syntax or format meaning beyond the schema, which is the baseline-3 case.

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 and resource ('spends one run ... and plans your x402 pathway') and situates itself explicitly as 'Step 5' of a named pipeline. It distinguishes itself from siblings by naming pathways_authorize as its authorizing prerequisite and by contrast with the pure-retrieval pathways_* tools.

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?

Gives a clear precondition chain: must be authorized via pathways_authorize, and the token, prompt, and routes come from the other pathways_* steps. It doesn't state an explicit 'do not use when...' or name a competing sibling to prefer instead, so it stops short of a 5.

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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