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ingest_transcript

Destructive

Take a transcript and source metadata, return a prompt for extracting design decisions to inform UI generation.

Instructions

Store a transcript source and return an extraction prompt for the calling agent's model. Raven makes no model or network call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesTranscript text to extract design decisions from.
source_metaYesMetadata identifying the transcript source.
Behavior3/5

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

Adds key context that Raven makes no model or network call, which is beyond annotations. However, does not explain the 'destructive' nature indicated in annotations; 'store' implies creation, not destruction, leading to potential ambiguity.

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?

Extremely concise single sentence with no wasted words. Front-loaded with action and output.

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?

Adequately describes the core function but lacks details on return value structure, next steps, or relationship with sibling tools like ingest_transcript_results. Given no output schema, more context would be beneficial.

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%, so parameters are already documented. The description adds no additional information about parameters, thus 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 stores a transcript source and returns an extraction prompt, with explicit verb and resource. Distinguishes from sibling tools like ingest_transcript_results by specifying the immediate output.

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

Usage Guidelines2/5

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

No guidance on when to use this tool vs alternatives. Does not mention prerequisites, related tools, or when not to use it.

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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