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search_stores

Read-onlyIdempotent

Discover verified supplier storefronts (supply nodes) on ProcureRadar by target-market country and industry. Each store groups multiple products from one verified supplier and returns sample_product_ids you can quote on. Use this to find a supplier store first, then search_products / request_quote. Free & anonymous (IP rate-limited). Organizing principle: country × industry matrix.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoStore name keyword (optional)
limitNoMax results (default 20, max 50)
countryNoTarget-market country ISO2 the store operates/sells into (e.g. MY, VN, JP)
industryNoIndustry key (85-industry taxonomy, aligns with product category codes, e.g. 'beauty_personal_care')

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already include readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds context about IP rate limiting, anonymity, and the return of sample_product_ids, which provides useful behavioral cues 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?

Two tightly written sentences: the first specifies the core purpose and parameters, the second provides workflow context and usage notes. No wasted words.

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?

While there is no output schema, the description mentions the return of sample_product_ids and the intended workflow. It is fairly complete given the good annotations and simple parameter set, though it lacks details on pagination or exact response structure.

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 100%. The description adds meaning by explaining the organizing principle (country × industry matrix), indicating that 'q' is optional, and noting the limit constraints (max 50).

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: discovering verified supplier storefronts by country and industry. It distinguishes from siblings like 'search_products' by specifying that stores group multiple products from a verified supplier.

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?

Provides clear workflow guidance: use this to find a supplier store first, then search_products/request_quote. Mentions free & anonymous with IP rate limiting, but does not explicitly state when not to use it.

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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