Crawlora MCP

microsoftstore_product

Read-only

Microsoft Store product/listing details: publisher, category, price, size, platforms, features, media.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "ProductID": "<ProductID>",
      "Country": "<Country>",
      "Locale": "<Locale>"
    },
    "name": "microsoftstore_product"
  }
}

Input Schema

Name	Required	Description
`Locale`	Yes	Display locale (BCP-47), default en-US.
`Country`	Yes	Store country/region code (ISO-2), default US. Selects the store region and price currency.
`ProductID`	Yes	Microsoft Store product id (store id), e.g. 9NCBCSZSJRSB.

Output Schema

Name	Required	Description	Default
`data`	Yes	The tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 5, 2026

TDQS

A3.7/5.0

Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds that returned data is region/currency-scoped (via the field list plus the Country schema note), but does not mention pagination, caching, or rate limits.

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?

A single compact sentence that front-loads what the tool returns. It is appropriately sized for a lookup tool, though the list of return fields is somewhat enumerative without adding method context.

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?

With 100% schema coverage, an output schema, and annotations covering safety and openness, the description is sufficient for an agent to call and interpret the tool. The remaining gap is lack of routing guidance to the other microsoftstore_* siblings.

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%; all three parameters are documented in the schema, including formats for ProductID, Country, and Locale. The description adds no parameter semantics beyond the schema, so the baseline 3 applies.

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 states a specific verb+resource: retrieving Microsoft Store product/listing details. It enumerates the returned fields (publisher, category, price, size, platforms, features, media), which concretely tells an agent what it fetches. It is distinguishable from the sibling list, which contains search/category/chart tools but no other product-detail tool in the microsoftstore_ family.

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?

Usage is implied by the name and the required ProductID, but the description never says when to use it versus siblings such as microsoftstore_search, microsoftstore_category, or microsoftstore_charts. No exclusions or lookup prerequisites (where to get a ProductID) are given.

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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