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Glama

details

Fetches full product information for a searched item ID—variant-specific prices, China shipping, stock, store scores, and Superbuy warnings—to verify serious candidates before purchase.

Instructions

Productdetails van een item uit search() (id zoals 'tb:123'): alle varianten met eigen prijs (ontmaskert lokprijzen), verzending binnen China, voorraad, winkelscores, Superbuy-waarschuwingen. Telt zwaar mee voor Superbuy's rate-limit: alleen voor serieuze kandidaten gebruiken.

Input Schema

NameRequiredDescriptionDefault
idYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does well: it discloses that the call is expensive against Superbuy's rate limit and that it exposes 'lokprijzen' (bait prices) hidden at search level. Missing are auth/permission requirements and any indication of response size or latency, which are relevant for a heavy call.

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?

Front-loaded with purpose, then id provenance, then the rate-limit warning last, which is a sensible ordering. The middle clause is dense with comma-separated return fields but each item adds meaning; no filler sentences.

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 need not be re-explained, yet the description still prioritizes the fields that matter for comparison shopping. The rate-limit constraint and id provenance are both covered; permission requirements and error behavior are the only notable gaps.

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?

Schema coverage is 0% for the single 'id' parameter, so the description must compensate — and it does, specifying the id comes from search() and follows the 'tb:123' pattern. That is enough to construct a valid call, though nothing is said about invalid-id behavior.

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?

States a specific verb and resource ('Productdetails van een item'), names the source tool (search()), gives the id format ('tb:123'), and enumerates what is returned (variants, shipping, stock, store scores, warnings), which cleanly separates it from the sibling search tool.

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?

Explicitly constrains usage — 'alleen voor serieuze kandidaten gebruiken' — because of the rate-limit cost, which is actionable selection guidance. It does not positively name alternatives or spell out a full decision tree, but the when-not condition is unambiguous.

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