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search_voice

Search your voice transcription history by entering a query. Find when you mentioned a topic, with results ranked by relevance and including timestamps and transcript snippets.

Instructions

Full-text search over the user's voice transcription history.

Returns matching segments ranked by relevance with timestamp, transcript snippet, and full-segment reference.

USE WHEN: the user references something they said ("when did I mention X", "find the part where I talked about Y"). NOT FOR: live transcription — ContextPulse transcribes asynchronously; very recent audio may not be indexed yet.

BEHAVIOR: pure read. Substring + FTS search. Sub-second for typical buffers.

PARAMETERS: query: substring or FTS expression. Required, non-empty. limit: max results. Range 1-100. Default 20.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Despite no annotations, the description fully discloses behavior: pure read operation, substring + FTS search, sub-second response for typical buffers, and asynchronous indexing limitation.

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 with clear sections (USE WHEN, NOT FOR, BEHAVIOR, PARAMETERS). Every sentence adds value without redundancy.

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?

Output schema exists, and description adequately describes return format (matching segments with timestamp, snippet, reference). Covers all needed context: purpose, usage, behavior, parameters.

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?

With 0% schema description coverage, the description fully compensates by explaining both parameters: query as substring/FTS expression, required non-empty; limit as max results with range 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?

Clearly states full-text search over voice transcription history, with specific verb and resource. Distinguishes from sibling tools like search_clipboard and search_history by focusing on voice data.

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?

Explicitly provides USE WHEN and NOT FOR conditions, and mentions the limitation regarding very recent audio not being indexed, guiding when to use this tool vs. live transcription or other search tools.

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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