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Summarize Document

summarize
Read-onlyIdempotent

Generate a concise summary with key points. Faster and cheaper than analyze_document — best for shorter documents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesDocument text to summarize
max_lengthNoOptional maximum summary length in words (default: 500)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
metaNoProcessing metadata
summaryYesConcise summary text
keyPointsNoBullet-point key takeaways

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly, openWorld, idempotent, and not destructive. Description adds performance traits (faster/cheaper) which are beyond annotations but not strictly behavioral. Still useful context.

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 concise sentences, front-loaded with purpose, no wasted 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?

For a simple tool with annotations and complete schema, the description covers purpose, usage guidance, and performance. Lacks minor details like supported formats, but sufficient.

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% with good descriptions for both parameters. Description does not add extra meaning beyond what the schema already provides. Baseline score of 3.

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?

Clearly states it generates a concise summary with key points. Differentiates from sibling analyze_document by noting it's faster/cheaper and for shorter documents.

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?

Explicitly says 'Faster and cheaper than analyze_document — best for shorter documents,' providing clear context on when to use vs. the alternative.

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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TDQS

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct domain or action: document analysis, financial filings, contract review, translation, web extraction, summarization, cost estimation, and health check. Overlap is minimal and explicitly disambiguated in descriptions.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (e.g., analyze_document, extract_web), making the set predictable and easy to navigate.

Tool Count5/5

With 8 tools, the server is well-scoped for a general-purpose AI toolkit, covering analysis, translation, extraction, summarization, and utilities without excess or deficiency.

Completeness4/5

The tool surface covers core workflows for document analysis, filings, contracts, translation, web extraction, and summarization. Minor gaps exist (e.g., no tool for editing or managing stored analyses), but the set is complete for its intended purpose.

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