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select_buyer_request_offer

Complete the buyer-signed proposal selection and return its existing prepared-artifact checkout path plus buy_prepared_artifact arguments. Payment requires a separate authorization; this tool never pays or marks a purchase complete.

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": {
      "requestId": "<requestId>",
      "challengeId": "<challengeId>",
      "signature": "<signature>"
    },
    "name": "select_buyer_request_offer"
  }
}

Input Schema

NameRequiredDescriptionDefault
requestIdYes
signatureYes
challengeIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full load and does reasonably well: it discloses the critical non-behavior (no payment, no purchase completion) and the fact that payment needs separate authorization. It omits idempotency, what happens on signature failure, and any permission/expiry semantics around the signed challenge.

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

Conciseness5/5

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

Two sentences, no filler, and the returned-value information plus the payment caveat are front-loaded where the agent needs them before deciding to call.

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

Completeness3/5

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

For a signing/mutation tool with no annotations and no output schema, the description usefully summarizes the return payload and the non-payment guarantee. However, with all three params at 0% coverage and no prerequisites or failure modes stated, an agent still lacks enough to construct a correct call from the description alone.

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

Parameters2/5

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

Schema description coverage is 0% for three required parameters (requestId, challengeId, signature), so the description must compensate and does not. Only "buyer-signed" loosely hints at what signature means; requestId vs challengeId and their relationship to the selection flow are entirely undocumented.

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

Purpose4/5

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

Specific verb plus resource: completes the buyer-signed selection for a proposal offer and states what it returns (prepared-artifact checkout path and buy_prepared_artifact arguments). That distinguishes it from propose_buyer_request_offer and buy_prepared_artifact, though it never names those siblings directly, so an agent must infer the boundary.

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?

"Payment requires a separate authorization; this tool never pays or marks a purchase complete" is an explicit exclusion that steers the agent away from using this as a pay step, and the return of buy_prepared_artifact arguments implies the follow-up call. It does not address when to use this versus complete_buyer_request or the proposal step, so routing is only partly covered.

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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