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Toys Hub

Search products

search_products
Read-onlyIdempotent

Search Toys Hub's catalogue by words, category, age and price. Returns name, price, availability, photo, product page and a buy-now link for each match.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ageNoChild's age in years; returns products suitable for that age.
langNoLanguage of names, descriptions and links: "sq" Albanian, "en" English.en
limitNo
queryNoWords to look for in names and descriptions (Albanian or English). Empty lists popular products.
categoryNoCategory slug from list_categories.
max_priceNoHighest price, in the store currency.
in_stock_onlyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
productsYes
resultCountYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering safety and side effects. The description adds the return content (fields per match) which is useful but does not disclose other behavioral traits such as result limits, ordering, or handling of empty queries (though some are captured in parameter descriptions). It adds moderate value beyond annotations.

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?

The description is a single, efficient sentence that front-loads the core action and then lists outputs. There is no redundancy or filler; every clause contributes to understanding the tool's function and result.

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 read-only search tool with an output schema and annotations covering safety, the description is nearly complete. It explains what the tool does and what it returns. The only minor gap is not mentioning that query can be empty (popular products) or that category slugs come from list_categories, but these are covered in the schema parameter descriptions, so nothing critical is missing.

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?

Schema description coverage is 71%, so most parameters are already described (age, lang, query, category, max_price). The description only mentions the filter dimensions (words, category, age, price) without adding semantics for the undocumented parameters (limit, in_stock_only). It does not compensate for the gaps, but the schema constraints (min/max, default) provide partial guidance, so a baseline 3 is appropriate.

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 clearly states the tool's purpose: searching the Toys Hub catalogue with specific filters (words, category, age, price) and lists the output fields (name, price, availability, photo, product page, buy-now link). It distinguishes from siblings like get_product (single item retrieval) and list_categories (category enumeration) by its explicit search-and-list behavior.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention alternatives like get_product for specific items or check_availability for stock queries, nor does it state any exclusion criteria. An agent must infer usage from the tool name and generic context.

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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