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Summarize a conversation (Zoom Summarizer)

summarize_transcript

Summarize conversation transcripts by extracting recaps, action items, or detailed summaries in multiple languages.

Instructions

Summarize a conversation transcript using the Zoom Summarizer API. Input is plain text / VTT / SRT (max 96 KB). task=recap gives a short recap, action_items extracts to-dos, summary gives a standard summary, full_summary the most detailed one.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskNoWhat to generate from the transcriptsummary
textYesThe conversation transcript to summarize
languageNoOutput languageja-jp
Behavior3/5

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

With no annotations, the description carries full burden. It discloses API source, input formats, and size limit, but lacks details on authentication, rate limits, or whether the operation is read-only. This is adequate but could be more comprehensive.

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: first sentence establishes purpose and constraints, second explains task variants. No wasted words, front-loaded with essential info.

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?

Given no output schema, the description does not specify return format or structure. It lists task outputs but not whether they are strings, objects, etc. Missing error conditions or handling of max size exceeded. Adequate but incomplete.

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% (baseline 3). The description adds value by explaining task options (e.g., 'recap gives a short recap') and clarifying text input as 'plain text / VTT / SRT', which is beyond the schema's generic type.

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 it summarizes transcripts using Zoom Summarizer API, specifies input formats and size limit, and lists task options. It differentiates from siblings transcribe_audio and translate_text by focusing on summarization.

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?

The description implies usage for summarizing transcripts and provides context on input formats and size limit, but does not explicitly state when not to use or mention alternatives beyond the sibling list.

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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