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DigiLIB

DigiLIB

by cars3

search_books

Search books across Open Library and Google Books by keywords, returning deduplicated results with title, authors, year, source, link, and description for literature review.

Instructions

Search books across Open Library and Google Books.

Args: keywords: key terms; broader, book-friendly phrasing works best. size: results per source per keyword (default 10).

Returns: A numbered plain-text list of deduplicated book results with title, authors, year, source, link, and description per entry.

Input Schema

NameRequiredDescriptionDefault
sizeNo
keywordsYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral burden. It discloses the two sources, deduplication, and return format, but omits rate limits, authentication, partial-failure behavior, and whether both sources are always queried.

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?

The description is front-loaded with the purpose and organized into Args and Returns sections. It is appropriately sized with no wasted text.

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 simple two-parameter search tool with an output schema, the description covers invocation and expected return shape well. The main gap is routing guidance against sibling tools.

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%, so the description must compensate. It explains both parameters meaningfully: keywords are key terms with broader phrasing recommended, and size controls results per source per keyword with a default of 10.

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 states a specific verb and resource: search books across Open Library and Google Books. This clearly distinguishes it from search_papers and export_research_tool by resource and action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives keyword phrasing advice but does not state when to use this tool versus search_papers or export_research_tool. There is no explicit usage context, exclusion, or alternative-routing guidance.

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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