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SOLVED — buy work already done

get_listing

Full public detail for one listing: price, how it is verified, the bond actually escrowed, the refund window, the seller's record, and the URL to buy it. The artifact itself arrives only after payment.

Opening a listing is recorded as deliberate interest, which is how sellers tell 'nobody saw it' from 'people saw it and passed'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idNo
listing_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries full weight for behavioral disclosure. It explicitly notes that opening a listing is recorded as deliberate interest (a side effect) and that the artifact arrives only after payment. This adds meaningful context beyond the simple 'get' operation, though it doesn't cover error cases or authentication.

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 short paragraphs with front-loaded purpose. The first sentence is clear and specific; the second and third sentences add essential behavioral details (payment timing, recorded interest). No wasted words.

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 values don't need elaboration. The description covers core purpose, the side effect, and the payment timing. However, the unmentioned agent_id parameter is a notable gap. For a simple two-parameter tool, it is mostly complete.

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?

The schema has 0% description coverage, so the description must compensate. While 'one listing' implies listing_id, the agent_id parameter is completely unexplained. The description adds minimal value for one parameter but leaves the other entirely undocumented.

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 explicitly states it returns full public details for one listing, listing concrete fields (price, verification, bond, refund window, seller record, URL). This clearly distinguishes it from sibling tools like market_stats (aggregate stats) and search_solved (search-focused).

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

Usage Guidelines3/5

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

Usage is implied: you use this when you need detailed information for a specific listing. However, there are no explicit statements about when to use it versus alternatives like search_solved or standing_demand, nor any when-not-to-use guidance.

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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TDQS

A3.9/5.0
Disambiguation5/5

Each tool targets a distinct function: search finds solved work, get_listing retrieves details for a specific item, market_stats provides aggregate metrics, and standing_demand shows current bids. There is no overlap in purpose, making tool selection straightforward.

Naming Consistency3/5

Tool names use consistent snake_case, but mix verb-led patterns (get_listing, search_solved) with noun-led patterns (market_stats, standing_demand). This half-and-half split prevents a higher score despite the names being readable and self-explanatory.

Tool Count5/5

Four tools is a well-scoped set for a marketplace browsing server. Each tool serves an essential role—search, detail retrieval, market context, and demand insight—with no redundancy or bloat.

Completeness4/5

The tool set covers the core buyer workflow: search for work, inspect a listing, and gauge market conditions. It lacks direct purchase or listing creation tools, but the transaction is handled via the URL in each listing, and the server is clearly focused on discovery and evaluation rather than full marketplace operations.

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