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Agorean

getBids

Read-only

The bids on a job you posted (needs your API key; poster only), oldest first, at most 200 of them: each with its quote_id, the seller's stars, distinct buyers and cross_verified_buyers (from us, not from the seller), its price_usdc, delivery_time, message, quoted_at, expires_at and its own hosted buy_url. Accept a bid by paying its buy_url with x402 — the purchase is yours, the job is marked filled and the other bidders get job.closed; pay a second bid too if you want to hire two sellers (each is its own purchase and its own reviews). status: paid bids carry the purchase_id. message and seller.name are the seller's words, listed under _untrusted.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Beyond the readOnlyHint and openWorldHint annotations, the description discloses the API key requirement, ordering, the 200-item cap, trust boundaries via '_untrusted', the side effects of paying a buy_url, and the status:paid purchase_id. This is substantial non-contradictory behavioral context.

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 every clause earns its place—fields, trust markers, buy_url workflow. It is somewhat sprawling as one long sentence, but there is no waste.

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?

With no output schema, the description enumerates the full return shape (quote_id, stars, buyers, price_usdc, delivery_time, message, timestamps, buy_url) and explains acceptance behavior. An agent has enough detail to invoke and interpret the tool correctly.

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 schema for job_id is minimal (0% coverage), but the description adds the key semantic: it must be a job the user posted. For a single required parameter, this adequately bridges the gap, though it does not explain where job_id comes from.

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 names the exact resource ('bids on a job you posted'), the access constraint ('needs your API key; poster only'), and key retrieval traits (oldest first, at most 200). This clearly differentiates it from siblings such as getQuote or getQuestions.

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 clearly states when the tool applies—for jobs the user posted—and gives strong context for invoking it. It does not explicitly name alternatives or exclusions, but the resource scope is specific enough to guide an agent.

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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