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Glama

BlinkCodes catalog

search_catalog

Search the store catalog of gift cards, service top-ups and eSIM data plans. Returns matching products with their price, availability and product page URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNovoucher = gift card, recharge_fixed / recharge = top-up, e_sim = eSIM data plan.
limitNoMax products to return (default 10, max 50).
queryNoFree text matched against product name and brand, e.g. "steam" or "playstation".
countryNoISO-3166-1 alpha-2 country code the product is issued for, e.g. US, TR.

TDQS

A4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly states the operation is a search ('Search the store catalog') and describes the expected output ('Returns matching products with their price, availability and product page URL'). This transparently conveys a read-only behavior, though it does not mention any edge cases like rate limits or pagination.

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 tight two-sentence summary that leads with the action and clearly states the return value. No filler or redundant information is present.

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?

The description effectively covers the tool's purpose and return content, which is especially useful given the lack of an output schema. It is adequate for a simple search tool, though it could benefit from a note on how it relates to the sibling 'get_product' tool.

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 100%, so all four parameters (type, limit, query, country) are already fully documented in the input schema. The description adds no additional meaning to the parameters, as it only indirectly references product types ('gift cards, service top-ups, eSIM') which correspond to the 'type' enum.

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 identifies the tool as a catalog search for specific product types (gift cards, top-ups, eSIM) and states it returns matching products with price, availability, and URL. This distinguishes it from the sibling 'get_product' which likely fetches a single product's details.

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?

The description implies that this tool is for searching the catalog to find matching products, but it does not provide explicit guidance on when to choose it over the sibling 'get_product' tool. No exclusions or alternative scenarios are mentioned, so usage context is clear but not differentiated.

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

A4.3/5.0
Disambiguation5/5

Each tool serves a distinct purpose: searching, retrieving details, and purchasing. There is no overlap in their functions, making it clear which tool to use for each operation.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern (buy_product, get_product, search_catalog) with snake_case naming. The pattern is predictable and unambiguous.

Tool Count5/5

3 tools is well within the ideal range for a catalog server. Each tool covers a core operation (search, retrieve, purchase) without unnecessary bloat or missing essentials.

Completeness5/5

The tool set covers the full lifecycle for a catalog: searching for products, getting product details, and purchasing. No obvious gaps exist for the stated purpose of a catalog storefront.