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get_recent_voice

Retrieve the most recent voice transcription segments with timestamps, transcript text, confidence scores, and duration to recall just-dictated content.

Instructions

Return the most recent N voice transcription segments captured by ContextPulse.

Returns segments with timestamp, transcript text, confidence score, and duration.

USE WHEN: the user references something they just dictated ("what did I just say", "use my last voice note"). NOT FOR: text search over older voice — use search_voice. ALTERNATIVES: search_voice (text query), find_related_context (cross-source).

BEHAVIOR: pure read from the voice transcript log. No side effects.

PARAMETERS: n: how many segments to return. Range 1-100. Default 10.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

With no annotations provided, the description carries full burden and explicitly states 'BEHAVIOR: pure read from the voice transcript log. No side effects.' This discloses the key behavioral trait clearly and accurately.

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 highly concise with no wasted words, and organized into clear sections (USE WHEN, NOT FOR, ALTERNATIVES, BEHAVIOR, PARAMETERS). Every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity, the description covers all necessary aspects: purpose, usage context, behavior, parameter details, and return fields (timestamp, transcript, confidence, duration). It is complete and well-rounded.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so description must compensate. It explains parameter n as 'how many segments to return. Range 1-100. Default 10.', adding meaning beyond the schema's type and default.

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 returns the most recent N voice transcription segments, specifying the resource (voice transcription segments) and scope (most recent N). It distinguishes from siblings like search_voice and find_related_context by explicitly naming them as alternatives.

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

Usage Guidelines5/5

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

The description provides explicit USE WHEN and NOT FOR conditions, and lists alternatives (search_voice, find_related_context). This gives clear guidance on when to invoke this tool vs others.

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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