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list_products

Read-onlyIdempotent

Free public product metadata: ID, title, summary, price, network and registration availability. Static registered catalog, not live inventory. Registration does not verify purchase or delivery. 購入・納品E2E未検証。 Catalog: https://si.kgninja.dev/docs/products.json

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds substantive context beyond that: the catalog is static and not live inventory, and registration does not verify purchase or delivery (with a Japanese note that the purchase/delivery E2E is untested). It does not mention catalog size or pagination, which keeps it short of a 5.

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-loaded with what the tool returns, then caveats, then a documentation link — no filler sentences. The mixed English/Japanese fragment is slightly opaque but earns its place as a correctness warning, so the structure is efficient overall.

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 no output schema and no parameters, the description carries the burden of explaining the return shape, and it does list the key fields plus a link to the full catalog spec. It omits any indication of catalog size, ordering, or truncation limits, which is a minor gap for a zero-arg list tool.

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?

The tool takes zero parameters, so per the rubric the baseline is 4. The field names in the description describe return values rather than inputs, which is still useful, but there is nothing to add about input semantics.

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 specific verb and resource ('list_products' returns free public product metadata') and enumerates the fields returned (ID, title, summary, price, network, registration availability). It does not differentiate itself from siblings get_information/publish_information/search_information, so an agent cannot tell from the text alone why it should pick this over search_information.

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?

There is no explicit when-to-use or when-not-to-use statement, and the sibling tools are never named. The caveats 'static registered catalog, not live inventory' and 'registration does not verify purchase or delivery' imply appropriate vs inappropriate reliance on the data, which is a partial usage signal but not routing guidance.

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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