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Smart省エネ AI【公式】

ページの中身を読む

fetch
Read-only

「Smart省エネ AI【公式】」(smart-shouene-ai.com)の、読み込んだページの本文を全文返します。id には、探した結果の id(ページの URL)か、ページの URL・パスを渡します。料金・日付・条件・規約など、正確さが大事なことは、答える前にこれで本文を確かめてください。

Input Schema

NameRequiredDescriptionDefault
idYes探した結果の id(ページの URL)。ページの URL かパスでも可(日本語のままでも可)

Output Schema

NameRequiredDescriptionDefault
idYes
urlYes
textYes
titleYes
metadataNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered; the description adds that the tool returns the entire page body and is restricted to one domain (openWorldHint=false is consistent). It says nothing about behavior on off-site URLs, very long pages, or fetch failures, 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.

Conciseness5/5

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

Three short sentences, front-loaded with what is returned, then the parameter, then the accuracy-critical usage rule. Nothing is wasted and the ordering matches how an agent needs the information.

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?

An output schema exists, so return values need not be explained, and the description covers domain scope, accepted id forms, and the key use case. The one remaining gap is that an agent cannot tell from this definition how fetch differs from get_page.

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 coverage is 100%, so the schema already documents that id accepts a search-result id, a URL, or a path, including Japanese characters. The description repeats that same range of accepted values rather than adding format constraints or normalization details, so the baseline 3 applies.

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: returns the full body text of a loaded page on the named site (smart-shouene-ai.com). The site scoping is precise, but it does not distinguish itself from the sibling get_page, which on the surface sounds like the same operation.

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?

Gives a clear usage context: for pricing, dates, conditions and terms where accuracy matters, verify the body text before answering, and take the id from search results. It does not say when to prefer a sibling such as search or get_page, so no explicit alternatives/exclusions are provided.

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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