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summarize_document

Generate an AI-powered summary of any document. Choose from brief, detailed, or bullet-point formats.

Instructions

Generate an AI-powered summary of a document. Supports brief (200-300 words), detailed (500-800 words), or bullet-point summaries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
doc_idYesDocument ID to summarize
summary_typeNoType of summary: 'brief' (default), 'detailed', or 'bullet'brief
force_regenerateNoIf true, regenerate summary even if cached version exists (default: false)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions generating summaries but does not disclose caching behavior (despite the force_regenerate parameter), auth requirements, error handling, or state mutations. The lack of transparency on whether summaries are cached and reused is a notable gap.

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 clear, front-loaded sentences with no extraneous content. Efficient and easy to parse.

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

Completeness3/5

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

For a tool with 3 params and no output schema, the description covers the basic purpose and parameter options. However, it omits behavioral details (caching, errors) and fails to differentiate from sibling tools explicitly, making it adequate but not comprehensive.

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%, and the description adds minimal value: it mentions word counts for brief/detailed types and implies defaults. This provides some extra context but largely repeats schema info. 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 clearly states the tool generates an AI-powered summary of a document, specifying three output types (brief, detailed, bullet). It distinguishes from siblings like 'get_summary' (likely retrieval) and 'summarize_all' (bulk operation).

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

Usage Guidelines3/5

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

The description implicitly suggests when to use this tool (when needing a summary with specific type/length), but lacks explicit guidance on alternatives like 'get_summary' for cached summaries or 'summarize_all' for multiple documents.

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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