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セキュリティIoTソリューション

ページの中身を読む

fetch
Read-only

「セキュリティIoTソリューション」(securityiot.theshop.jp)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。 セキュリティIoTソリューションは、防犯カメラ・ネットワークカメラ・監視カメラなどのIoT機器と通信サービスを組み合わせ、住宅、店舗、事務所、駐車場、倉庫、工場、建設現場、農地など、さまざまな場所の「見る・記録する・知らせる・守る」を実現するIoTソリューションです。4G・LTE通信やWi-Fi、遠隔監視、屋外対応、ソーラー電源など、設置場所や用途に応じた機器・通信環境を提供し、スマートフォンやタブレットから離れた場所の映像を確認できる環境をサポートします。防犯対策だけでなく、施設の見守り、現場管理、設備監視、遠隔確認など、企業・店舗・施設・現場のDXや業務効率化にも活用できます。

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

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safe-read profile is covered by structured data. The description adds that it returns the full body text and accepts a URL, path, or Japanese string, which is modest extra context, but says nothing about idempotency, rate limits, or failure modes when an id is wrong.

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

Conciseness2/5

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

The first two sentences are well front-loaded and actionable, but the bulk of the description is a long marketing blurb describing what the Security IoT Solution product line is. That content is pure site boilerplate and does nothing to help an agent call the tool, which is a severe conciseness failure.

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?

With an output schema present, annotations covering the safety profile, and a single fully documented parameter, the description only needs to explain what it does and when to use it. It covers the what and gives a use cue, but leaves the fetch-vs-get_page distinction unresolved and pads the rest with irrelevant product copy.

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% for the single 'id' parameter, and the description largely restates it: id is the search-result id (the page URL), and a URL or path also works. It adds no format or syntax guidance 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.

Purpose4/5

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

The opening sentence states a specific verb and resource: it returns the full body text of a page on securityiot.theshop.jp, and clarifies that the input is an id/URL/path. However, it never distinguishes itself from the sibling tool 'get_page', which on its name alone appears to do the same thing, so an agent cannot disambiguate the two without opening both schemas.

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?

It gives a genuine usage directive: verify prices, dates, conditions and terms with this tool before answering accuracy-critical questions, and it implies a search-then-fetch workflow by referencing the id from search results. But it says nothing about when to prefer 'get_page' or any other sibling, and gives no exclusions, so tool selection is left partly to inference.

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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