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Glama

suggest_ebay_categories

Suggests eBay category IDs from a product description, helping you apply the correct category_id in searches and aspect filters.

Instructions

Suggest eBay category ids for a description (e.g. 'men's waxed cotton jacket', 'hydraulic gear pump'). Use the id as category_id in searches and aspect filters.

Input Schema

NameRequiredDescriptionDefault
queryYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the burden; "suggest" implies a non-mutating lookup, but that is only implied. It does not state how many suggestions come back, whether results are ranked or confidence-scored, or whether authentication is required. The presence of an output schema excuses it from explaining return values, keeping this at a middling score.

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 sentences, front-loaded with the purpose and followed by the downstream instruction; there is no filler and no redundancy.

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 one-parameter lookup tool with an output schema, the description covers what the tool does, what to pass in, and what to do with the result. Only the shape of the returned suggestions and any reliability caveats are left implicit.

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 single query parameter has 0% schema description coverage, and the two bracketed examples ("men's waxed cotton jacket", "hydraulic gear pump") do real work here, showing the input is a free-form natural-language product description rather than a category name or ID. It still does not mention constraints such as length limits or language.

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?

Names a specific verb and resource ("suggest eBay category ids") and clarifies the input with two concrete examples, so the agent can tell it is a lookup-style categorizer rather than one of the search_ebay retrieve tools. It stops short of naming a sibling explicitly, which would earn 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 Guidelines4/5

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

"Use the id as category_id in searches and aspect filters" tells the agent both the downstream purpose and the workflow it plugs into (search_ebay, get_ebay_category_aspects). No explicit when-not guidance or prerequisites are given, but the usage context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.