どんなページがあるか見る
list_pages「ヨミタス」に読み込まれているページの一覧(タイトルと URL)を返します。/guide/ は使い方、/faq/ はよくある質問、/pricing/ は料金、/terms/・/privacy/・/policy/ は規約と方針、/sites/ の下は登録されているサイトの紹介ページです。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| offset | No |
list_pages「ヨミタス」に読み込まれているページの一覧(タイトルと URL)を返します。/guide/ は使い方、/faq/ はよくある質問、/pricing/ は料金、/terms/・/privacy/・/policy/ は規約と方針、/sites/ の下は登録されているサイトの紹介ページです。
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| offset | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full responsibility for disclosure. It states the tool returns a list, implying a read operation, but does not mention pagination behavior, ordering, potential rate limits, or whether the list is exhaustive. The path-category explanation is useful content context but not behavioral transparency about the tool's execution.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, leading with the core purpose and following with relevant contextual detail about URL paths. It is well-structured and each sentence adds value, though the path breakdown could be seen as slightly tangential. It is front-loaded with the main action, so structure is efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and only basic parameters, the description leaves gaps. It does not mention pagination limits (though limit/offset imply it), return format beyond title/URL, or how to decide between this and sibling tools. An agent might call it correctly but may be unsure about edge cases or appropriateness without further investigation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has limit and offset parameters with defaults and ranges, but schema coverage is 0% (no descriptions therein). The description does not mention these parameters at all, leaving them completely unexplained. Since schema coverage is low, the description must compensate, but it makes no effort to clarify parameter usage or semantics.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool returns a list of pages (titles and URLs) loaded in the system, using a specific verb and resource. It also provides useful context about the URL structure, which helps distinguish it from siblings like get_page (fetch single) or search_pages (search). This is not a tautology and effectively communicates the tool's function.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explains what the tool returns but gives no explicit guidance on when to use it versus alternatives. It does not mention search_pages, get_page, or site_overview, nor conditions like 'use this to get all pages' or 'when you need a broad overview'. The usage context is only implied.
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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