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SelieeAI

Search Products

search_products
Read-onlyIdempotent

[read · spend] Check product ideas against Google Maps (Places API, billed per request, so it waits for approval): for each product (max 5) the shops / wholesalers selling it in location (e.g. "Istanbul"), with how many were found and their ratings - evidence of demand and competition. region_code = country (TR, DE ...), language = result language (tr, en ...). The Google account is picked by gservice_account_id or gservice_account_uuid (default: the first one with a key). Returns [{product, query, found, avg_rating, total_reviews, places: [{name, type, address, phone, website, maps_url, rating, reviews}]}].

Input Schema

NameRequiredDescriptionDefault
languageNo
locationNo
productsYes
region_codeNo
gservice_account_idNo
gservice_account_uuidNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior5/5

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

Adds substantial context beyond the annotations: the backend is the paid Places API, calls require approval before execution, at most 5 products per call, and the Google account defaults to the first one with a key. These are operational facts the agent cannot get from readOnlyHint/idempotentHint alone.

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-loads the [read · spend] tag and purpose, then parameters, then return shape — no wasted sentences. It is dense, run-on prose though, with parameter notes and the return listing packed into one block; light structure would improve scanability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 6-param tool with no output schema and zero schema descriptions, the description supplies everything needed: cost/approval gating, per-call product limit, all parameter meanings with examples, account defaulting, and the exact return shape. Nothing essential is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description has to carry every parameter, and it does: products (max 5), location with a concrete example ("Istanbul"), region_code as country (TR, DE), language as result language, and the id/uuid pair with its default. That is full coverage of all 6 parameters.

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?

States a concrete verb+resource: checks product ideas against Google Maps Places, returning shops/wholesalers selling each product plus found-count and ratings. The framing as demand/competition evidence makes the intent unambiguous. It never names how it differs from close siblings like search_maps_places or find_suppliers, 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?

The 'billed per request, so it waits for approval' note and the 'max 5' cap imply a costly operation to use sparingly, so usage is inferable. But there is no explicit when-to-use-this-vs-alternatives guidance, and no mention of when not to call it (e.g. vs find_suppliers or search_maps_places).

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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