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assemblyai_get_sentences

Extract individual sentences from a completed AssemblyAI transcript using the transcript ID and API key.

Instructions

Get a completed transcript split into individual sentences.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyYesAssemblyAI API key
transcript_idYesCompleted transcript ID
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It only states the basic action and does not mention side effects, idempotency, or potential failure modes. For a retrieval tool, the lack of any behavioral details beyond the core function is a 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?

The description is a single sentence that directly conveys the purpose without any extraneous words. It is front-loaded and every word contributes meaning.

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 the low complexity (2 simple parameters, no output schema, no annotations) and the context of sibling tools, the description is minimally adequate. It explains what the tool does and hints at prerequisites ('completed'), but does not specify the response format or error conditions. It is functional but could be more informative.

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?

Both parameters already have clear descriptions in the input schema (api_key and transcript_id). The tool description adds no additional semantic information beyond what the schema provides. Schema coverage is 100%, so 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 uses the specific verb 'Get' and resource 'completed transcript', and adds 'split into individual sentences' which clearly distinguishes it from sibling tools like assemblyai_get_paragraphs. An agent can immediately understand what this tool does and how it differs from similar tools.

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 implies usage by stating 'completed transcript', suggesting the transcript must already exist and be finished processing, but it does not explicitly refer to alternatives or provide when-to-use/when-not-to-use guidance. The contrast with assemblyai_get_paragraphs is implicit but not stated.

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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