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Library of Alexandria

by io.github.ltvspot
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Find where a quotation comes from

find_quote_source
Read-onlyIdempotent

Find where a quotation comes from: give at least six words of it and get the title, chapter and paragraph of the open texts of the library that contain it, with the address to read it there. It answers only for texts that are open and never returns the words of the book.

Input Schema

NameRequiredDescriptionDefault
quoteYesAt least six words of the quotation, as exact as you know them. Capitals, punctuation and accents do not matter.
languageNoLanguage of the person asking, as a code: en English, es Spanish, de German, nl Dutch, fr French, it Italian, pt-BR Portuguese, ru Russian, zh-CN Chinese, zh-TW Chinese in traditional characters, ja Japanese, ko Korean, pl Polish, ar Arabic, hi Hindi, id Indonesian, ca Catalan. Titles, subtitles, authors and page addresses come back in this language. Default: the language of the query, else English.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / language / description
      Previous value: -"Language of the person asking, as a code: en English, es Spanish, de German, nl Dutch, fr French, it Italian, pt-BR Portuguese, ru Russian, zh-CN Chinese, zh-TW Chinese in traditional characters, ja Japanese, ko Korean, pl Polish, ar Arabic, hi Hindi, id Indonesian. Titles, subtitles, authors and page addresses come back in this language. Default: the language of the query, else English."New value: +"Language of the person asking, as a code: en English, es Spanish, de German, nl Dutch, fr French, it Italian, pt-BR Portuguese, ru Russian, zh-CN Chinese, zh-TW Chinese in traditional characters, ja Japanese, ko Korean, pl Polish, ar Arabic, hi Hindi, id Indonesian, ca Catalan. Titles, subtitles, authors and page addresses come back in this language. Default: the language of the query, else English."
    • changedInput schema / properties / language / enum
      Previous value: -[
-  "en",
-  "es",
-  "de",
-  "nl",
-  "fr",
-  "it",
-  "pt-BR",
-  "ru",
-  "zh-CN",
-  "zh-TW",
-  "ja",
-  "ko",
-  "pl",
-  "ar",
-  "hi",
-  "id"
-]New value: +[
+  "en",
+  "es",
+  "de",
+  "nl",
+  "fr",
+  "it",
+  "pt-BR",
+  "ru",
+  "zh-CN",
+  "zh-TW",
+  "ja",
+  "ko",
+  "pl",
+  "ar",
+  "hi",
+  "id",
+  "ca"
+]
  2. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, non-destructive and closed-world, so the safety burden is light. The description adds genuinely non-redundant behavior: results are limited to open texts and the book's own words are never returned, which sets the agent's expectations about coverage and output. It does not cover no-match behavior or how multiple matches are ordered.

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 sentences, front-loaded with the purpose and followed by the return payload and the constraint. No filler or restated title boilerplate.

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?

With no output schema, the description carries the return-shape burden and does list the returned fields plus a read address. It is nearly complete for a simple two-parameter lookup, with only edge cases (no match, multiple matches) left implicit.

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_description_coverage is 100%, so the schema already explains both the quote string and the language enum in detail. The description only echoes the six-word minimum, which is already in the schema, and says nothing extra about the language parameter. Baseline 3 is appropriate.

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 names a specific verb and resource ('Find where a quotation comes from') and immediately states the output shape (title, chapter, paragraph, address). This clearly distinguishes it from siblings like explain_phrase or search_in_book, which do different jobs with text.

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?

It states the trigger ('give at least six words of it') and a hard scope limit ('answers only for texts that are open'), which effectively tells the agent when the tool will not help. It stops short of naming alternatives such as search_in_book for closed texts, so it is not a full when/when-not treatment.

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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