Skip to main content
Glama

Search Authors

openlibrary_search_authors
Read-only

Search Open Library authors by name. Returns Open Library Author IDs, names, birth/death dates, top works, and subject associations. Use author IDs for openlibrary_get_author (bio, remote IDs) or openlibrary_get_author_works (list of works).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results to return.
queryYesAuthor name search query. Partial names and alternate names work.
offsetNoZero-based offset for pagination.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoPresent when the call failed. Absent on success.
totalNoTotal matching authors across all pages.
noticeNoGuidance when the page is empty (how to vary a name that matched nothing, or which offset to retry when offset ran past the end) or when the text output capped a per-author list. Absent when neither applies.
offsetNoZero-based offset of the first returned result — echoes the requested offset, so an empty page still records the offset that produced it.
authorsNoMatching authors, up to limit.
totalCountNoTotal matching authors across all pages — the upstream match count, reported even when this page is empty because offset ran past the end.

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering the safety profile. The description adds the return field list (IDs, names, dates, works, subjects) but not deeper behavior like rate limits, ordering, or result richness. With annotation coverage, this is adequate but not rich.

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?

Two sentences, no filler. Purpose and result fields in the first sentence; usage guidance in the second. Efficient and front-loaded, though the second sentence could arguably be part of usage guidelines rather than purpose, it doesn't waste words.

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?

Given an output schema exists and annotations cover safety, the description provides the key context: what fields appear in results and how to consume them with sibling tools. Pagination behaviors are in the schema. Nothing critical is missing for an agent to call it correctly.

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?

Schema coverage is 100% for all three parameters; the description adds nothing beyond what the schema already states (e.g., 'Partial names and alternate names work' is duplicated from the query description). Baseline 3 is appropriate because the schema does the heavy lifting.

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?

States a specific verb and resource: 'Search Open Library authors by name.' Clearly distinguishes itself from sibling retrieval tools by naming the follow-up tools (openlibrary_get_author, openlibrary_get_author_works) that consume its output. Immediate clarity on what it does and how it fits.

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?

Provides explicit context on how to use the returned author IDs for subsequent tool calls, which tells the agent why this tool exists. Doesn't explicitly state when not to use it vs. search_books, but the mention of alternatives creates a clear usage path. Minor gap: no exclusions or conditions.

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.

TDQS

A4.4/5.0
Disambiguation5/5

Every tool targets a distinct resource-action pair: author lookup, author works, cover resolution, edition resolution by identifier, edition listing by work, subject browsing, work lookup, and three search types (authors, books, full-text). The only near-overlap is get_edition vs get_editions, but the descriptions clearly separate identifier-based resolution from listing editions of a work, and cross-references reinforce the distinction.

Naming Consistency5/5

All tools follow a consistent snake_case verb_noun pattern: get_* for direct retrieval and search_* for query-based lookups. The single pair get_edition/get_editions is a natural pluralization, not an inconsistency. Naming is predictable and intuitive throughout.

Tool Count5/5

Ten tools is an ideal size for a read-heavy library API. Each tool serves a distinct purpose (author, work, edition, subject, cover, three search modes) without redundancy or bloat. The surface feels deliberately scoped and not overwhelming.

Completeness5/5

The set covers the full read surface of Open Library: authors (get/search), works (get/search), editions (get by ID, list by work), subjects, covers, and full-text search. There are no obvious missing operations—all core entities and lookup paths are represented, and recoveries for missing data (e.g., author names) are built into descriptions.