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dezer32

openwhispr-mcp

by dezer32

Read one dictation

get_transcription
Read-only

Retrieve a specific dictation record by ID, including full text, provider, model, status, and error details. Use IDs from list_transcriptions to access individual transcription entries.

Instructions

Read one dictation from the history by id, with its full text, provider, model, status and any error. Ids come from list_transcriptions. A dictation is not linked to any note — use get_note_transcript for a note transcript.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
transcription_idYesDictation id from list_transcriptions.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, covering the safety profile. The description adds useful behavioral context by naming what the response includes (full text, provider, model, status, error) and by clarifying that a dictation is not linked to a note. This goes beyond annotation-only knowledge without contradicting it.

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?

Three short, information-dense sentences with no filler. The main action and returned fields are front-loaded, followed by the ID source and the sibling distinction.

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?

For a single-parameter read-only tool with rich annotations and no output schema, the description covers the core action, return contents, ID provenance, and the primary alternative. Nothing essential for an agent to call it correctly is missing.

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%, and the schema already describes transcription_id as a dictation id from list_transcriptions. The description repeats that source but adds no extra parameter-level detail, so the schema is doing the heavy lifting; 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 states a specific verb and resource ('Read one dictation from the history by id') and enumerates the returned fields, making the tool's exact purpose clear. It also explicitly distinguishes this tool from get_note_transcript, so an agent can differentiate siblings without inspecting schemas.

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?

It provides concrete guidance: IDs come from list_transcriptions, and if the user needs a note transcript, use get_note_transcript instead. This is explicit when-to-use and when-not-to-use guidance with a named alternative.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.