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joestar817

legado-mcp-server

by joestar817

book_source_debug

Debug a book source with its URL and a keyword or URL to test. Returns all logs in one go.

Instructions

Debug a book source and return all logs in one go. This is the recommended tool for book source debugging.

Args: tag: The book source URL (NOT the name). key: The keyword or URL to debug. mode: Debug mode (auto, search, detail, explore, toc, content). timeout_seconds: Maximum time to wait for the debug session to finish.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagYes
keyYes
modeNoauto
timeout_secondsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so description carries full responsibility. It mentions 'return all logs' and 'timeout_seconds' hinting at waiting behavior, but fails to disclose whether the tool modifies any data, requires authentication, or has side effects. The behavioral traits are minimally described.

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?

The description is concise, with a clear opening purpose and a parameter list. It avoids fluff but includes a redundant 'recommended' emphasis. Every sentence adds value; the structure is logical.

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?

The tool has an output schema, so return values are covered there. The description adequately addresses the purpose and parameter usage. However, it lacks behavioral details (e.g., does it modify data?) and error handling, leaving gaps for a debugging tool that may have side effects.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, yet the description adds full semantic meaning for all four parameters: tag='The book source URL (NOT the name)', key='The keyword or URL to debug', mode lists enum options, timeout_seconds='Maximum time to wait'. This vastly exceeds the bare schema titles.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

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

The description clearly states 'Debug a book source and return all logs in one go.' It uses a specific verb ('Debug') and resource ('book source'), and declares itself as the recommended tool for this task, implicitly distinguishing it from RSS debugging tools.

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?

The description explicitly says 'This is the recommended tool for book source debugging,' which guides when to use it. No exclusions or alternatives are given, but the only sibling tool with similar purpose is 'rss_source_debug', making context clear.

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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