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NeuralVerge Business Intelligence

Yahoo! Auctions product

run_yahoo_auctions_products

Get a Yahoo! Auctions Japan catalog product by id or URL: lowest current and buy-it-now price and the live auctions matched to that product. Flat 5 points per successful run.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productYesCatalog product ID or URL. e.g. a9f58050a0

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full disclosure burden. It usefully adds cost behavior ('Flat 5 points per successful run') and describes what comes back, which annotations would not have covered. However, it omits permission/auth requirements, whether unknown IDs error or return empty, and rate-limit behavior for a read tool with zero annotation coverage.

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?

Two tight sentences, front-loaded with the action and return content, followed by the cost note. Nothing is redundant, though the 'Flat 5 points' clause is pricing metadata rather than tool-selection guidance.

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?

For a single-parameter read tool with no output schema, the description covers what the tool returns (lowest current and buy-it-now price, matched live auctions) and its cost, which is enough for correct invocation. Missing only edge-case behavior (invalid ID, empty results) and auth expectations.

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?

Only one parameter and schema description coverage is 100%, so the schema already documents the ID/URL input with a concrete example. The description's 'by id or URL' adds no format or validation detail beyond the schema; baseline 3 fits.

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 ('Get') plus a well-scoped resource ('Yahoo! Auctions Japan catalog product by id or URL') and even states the payload: lowest current/buy-it-now price plus matched live auctions. It implicitly distinguishes itself from the sibling run_yahoo_auctions_items (raw items) and run_yahoo_auctions_items_search, but never names an alternative, so it stops short of a 5.

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 rather than stated: the pricing-plus-matched-auctions framing tells the agent this is the product-level aggregation entry point, distinct from item search or category browsing. There is no explicit when-to-use/when-not guidance or prerequisite (e.g., how to obtain a catalog product ID vs an item ID).

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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