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assemblyai_summarize

Retrieve AI-generated summary from a completed AssemblyAI transcript submitted with summarization enabled.

Instructions

Get the AI-generated summary for a completed AssemblyAI transcript (must have been submitted with summarization enabled).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyYesAssemblyAI API key
transcript_idYesCompleted transcript ID
Behavior3/5

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

No annotations are provided, so the description bears the full burden. It indicates a read operation (get summary) and a precondition, but does not disclose error behavior (e.g., if transcript incomplete or summarization disabled) or other traits like idempotency or rate limits. This is adequate but not 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?

The description is a single sentence of 18 words with clear front-loading of the purpose and a key precondition. Every word adds value, making it highly efficient.

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 only 2 parameters and no output schema, the description covers the essential purpose and precondition. It lacks details about the return format or potential errors, but the overall completeness is sufficient for correct invocation.

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?

The input schema covers 100% of parameters with descriptions (api_key, transcript_id). The description does not add additional parameter semantics beyond the precondition mention of 'completed transcript', which is already implied by the transcript_id description. Baseline of 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 retrieves an AI-generated summary for a completed transcript, specifying the resource (summary) and action (get). It also includes a precondition about summarization being enabled, distinguishing it from sibling tools like assemblyai_get_transcript or assemblyai_get_paragraphs.

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 explicitly mentions a key precondition: the transcript must have been submitted with summarization enabled. This guides when to use the tool. It does not explicitly name alternatives or when not to use it, but the condition alone provides sufficient guidance for informed selection.

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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