Skip to main content
Glama

XRメモランダム

ページの中身を読む

fetch
Read-only

「XRメモランダム」(orecen.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

A3.6/5.0
Behavior3/5

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

Annotations already cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=false), lowering the bar. The description usefully adds that it returns the FULL text of the loaded page and is scoped to orecen.com, which is genuine context beyond annotations. It says nothing about failure modes or how the 'loaded page' concept behaves, so it stays at an adequate 3.

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?

Three sentences, front-loaded with the core action, followed by the argument meaning and the usage trigger. No filler, though the id sentence slightly duplicates the schema. 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?

For a one-parameter tool that has an output schema and safety annotations, the description covers purpose, argument, and a usage trigger, which is nearly everything an agent needs. The one missing piece is differentiation from the get_page sibling.

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?

With one parameter and 100% schema description coverage, the schema already defines id fully (URL, path, Japanese allowed). The description restates this (id from search results = page URL, or URL/path) but adds no new syntax or format detail, 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: it returns the full body text (本文を全文返します) of a page on orecen.com. That is unambiguous about what the tool does. However, it never distinguishes itself from the sibling get_page, which sounds functionally identical, so it misses the sibling-differentiation required for a 5.

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 an explicit use case: verify the body text before answering when accuracy matters (prices, dates, conditions, terms). That is actionable when-to-use guidance. It stops short of naming when not to use it or how it relates to the near-identical get_page sibling.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources