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microsoftstore_related

Read-only

Products related to a Microsoft Store product.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
PageYes1-based page number, default 1.
LocaleYesDisplay locale (BCP-47), default en-US.
CountryYesStore country/region code (ISO-2), default US.
PageSizeYesRelated products per page, default 10, max 24.
ProductIDYesMicrosoft Store product id to find related products for, e.g. 9NCBCSZSJRSB.
ProductTypeYesThe seed product's own type. Allowed values: Application, Game, Passes (matches the product's own media_type: apps->Application, games->Game, passes->Passes). Omit to have this endpoint resolve it automatically from product_id (one extra lightweight lookup); pass it explicitly to skip that lookup.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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 structurally, but the description adds no behavioral context at all — nothing about pagination depth, locale/country effects on results, or how 'related' is computed. For a read-only lookup this is tolerable but unhelpful.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no waste, but it is under-specified rather than genuinely concise: it omits the seed-product framing and the country/locale/paging controls that matter for invoking a 6-required-parameter tool.

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

Completeness3/5

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

An output schema exists, so return values need not be described, and the parameter schema is fully documented. Still, the description is silent on the tool's relationship to sibling product tools and on the fact that results are paginated and region/locale-scoped, leaving an agent minimally prepared to call it correctly.

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% and the schema already explains ProductID, ProductType (including the omit-to-auto-resolve behavior), Page, PageSize max, Country, and Locale. The description contributes nothing beyond the schema, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific resource ('products related to a Microsoft Store product'), so the agent knows this is a related-products lookup keyed on a seed product. However, it does not distinguish this from close siblings such as microsoftstore_recommended, microsoftstore_product, or microsoftstore_charts, leaving the agent to infer which of several product-listing tools applies.

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?

There is no guidance on when to use this tool versus alternatives, no prerequisites, and no mention that a valid Microsoft Store ProductID is required. The agent gets no routing signal beyond the tool name itself.

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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