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Glama

Search Library Source

library_search
Read-onlyIdempotent

Find books, papers, or records in a named library source using title, author, subject, or keywords. Returns results from that source only, with options for concise or detailed output.

Instructions

Search a specific library source by name. Use library_ask instead for natural language queries across multiple sources.

Sources marked [full text] support library_read and library_ingest. Sources marked [metadata] return discovery info and external URLs only.

Input Schema

NameRequiredDescriptionDefault
limitNoMax results
queryYesTitle, author, subject, or keywords
sourceYesLibrary source name. Run library_list_sources for the current list and descriptions.
response_formatNoconcise (default) trims results/citations to high-signal fields; detailed returns the full payload, including routing reasons, scores, and stage diagnostics.concise

Output Schema

NameRequiredDescriptionDefault
resultsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv11.0.0

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already establish a safe, read-only, idempotent operation, so the description does not need to restate that. It adds useful behavioral context beyond the annotations by distinguishing [full text] sources, which support read/ingest, from [metadata] sources, which return discovery info and external URLs only.

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, purposeful paragraphs: the core action, the key alternative, and source-type capability guidance. No filler or repetition of schema/annotation content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the strong schema (100% parameter coverage), explicit output schema, and annotations, the description covers the remaining operational context: which source to target, how to route to library_ask, and what result types to expect from metadata-only sources. Nothing needed to call it correctly is missing.

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 coverage is 100%, so the baseline is 3. The description adds a little extra meaning by framing the query as a structured search of a specific source rather than a natural-language question, which reinforces the query and source parameters without replacing the schema.

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 action ('Search a specific library source by name') and names the resource (library source). It also differentiates from library_ask, which handles natural-language queries across multiple sources, so an agent can tell them apart.

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

Usage Guidelines5/5

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

It explicitly says to use library_ask instead for natural language queries across multiple sources. It also explains when library_read and library_ingest apply based on [full text] source markings, giving clear routing to the relevant siblings.

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