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read_tubesaku_markdown

llms.txtで公開されているTubeSakuのMarkdownファイルを読む。
path例: /llms/google_trends.md

Input Schema

NameRequiredDescriptionDefault
pathYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It does not say what happens with an invalid path, whether the file content is returned whole or truncated, or how large documents are handled; only the read intent and source (llms.txt) are conveyed.

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?

Two short lines: purpose first, example second. No filler, and the concrete path example is placed where an agent will need it immediately.

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?

For a single-parameter read tool with no output schema this is minimal but workable; the path example covers the main ambiguity. It still lacks any indication of return shape or the relationship to the index/catalog tools that presumably enumerate valid paths.

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?

Schema description coverage is 0% and the single parameter has no description, so the description must compensate. The example '/llms/google_trends.md' supplies real format meaning — leading slash, directory prefix, .md extension — that the schema alone does not provide.

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 (read) and resource (TubeSaku Markdown files published via llms.txt), which separates it from siblings like get_tubesaku_index or get_tubesaku_data_catalog. It does not explicitly name those siblings, so differentiation is inferable rather than stated.

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?

The description implies the use case (fetching a specific Markdown document) and the path example suggests the input should look like a published file path. There is no explicit guidance on when to prefer this over get_tubesaku_index or search_tubesaku_context, nor on whether the path must come from the index.

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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