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add_voice_note

Ingest a voice note transcript. The twin extracts principles, decisions, and ideas, identifying what you said that's worth keeping, in your language. Source is tracked as voice note + date.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoDate of the voice note, e.g. "2026-05-16"
notesNoWhat this voice note was about
transcriptYesThe full transcript text from Otter or similar

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

The description adds value beyond annotations by explaining that the twin extracts key content (principles, decisions, ideas) and tracks the source. Annotations only indicate non-read-only and non-destructive, so the description enriches behavioral understanding.

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 very concise: three sentences, with the core action in the first sentence. Each sentence adds distinct value without redundancy.

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?

The description explains the purpose and processing but lacks details about optional parameters (date, notes) and the expected outcome or return. Adequate for a simple tool but not fully 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% with descriptions for all parameters. The description does not add additional meaning beyond what the schema provides, meeting the baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool ingests a voice note transcript and extracts principles, decisions, and ideas. This distinguishes it from sibling tools like add_document which likely handle other formats, but no explicit sibling differentiation is provided.

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?

The description offers no guidance on when to use this tool versus alternatives such as add_document or add_knowledge. It lacks explicit context for 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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