Voice Memo to Text
Server Details
AI transcription API: turn voice memos, meetings and audio URLs into text and SRT subtitles.
- Status
- Healthy
- Uptime
- 60.0% over 21 days
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-06-18
- URL
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 2 tools
The two tools have completely non-overlapping purposes: one checks quota, the other performs transcription. There is no plausible way for an agent to confuse them.
Both names follow a clean verb_noun snake_case pattern (get_usage, transcribe_audio) with unambiguous verbs. Fully predictable.
Two tools is on the thin side for even this narrow purpose; the service does one thing plus a quota check. It is defensible for a minimal API but leaves little surface to work with.
The core action (transcribe) and quota check are present, but there is no way to list past transcriptions, retrieve a prior result by ID, or check status of a long job. Agents that need history or re-fetching hit a dead end.
Available Tools
2 toolsget_usageAInspect
Check today's transcription usage against your plan's daily limit.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It conveys that this is a read-only status check scoped to 'today' and a 'daily limit' rather than a mutation, but it does not say whether the limit is hard or soft, what happens when exceeded, or what form the result takes (count, percentage, remaining quota).
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single sentence, front-loaded with the verb and object, with no filler. Every word carries meaning and nothing is repeated from structured fields.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter read tool with no output schema, the description covers what the agent needs to decide to call it. The one remaining gap is the response shape, which matters somewhat since no output schema exists to fill it in.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline applies. The description correctly signals that the scope is implicit rather than parameterized.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Specific verb 'Check' plus a clearly scoped resource: today's transcription usage measured against the plan's daily limit. It is readily distinguishable from the sibling transcribe_audio by resource, though it does not name that sibling explicitly.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'against your plan's daily limit' implies the use case (quota checking before or after transcribing), but there is no explicit when-to-use statement, no prerequisite, and no reference to transcribe_audio as the alternative action.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
transcribe_audioAInspect
Transcribe an audio or video file to text. Supports mp3, wav, m4a, mp4 and more (max 25 MB). Free plan: 3 files/day; Unlimited: 300/day fair use.
| Name | Required | Description | Default |
|---|---|---|---|
| audio_url | Yes | Public http(s) URL of the audio file |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden and does disclose genuinely non-obvious behavior: accepted formats (mp3, wav, m4a, mp4 and more), a 25 MB hard size cap, and per-plan rate limits (3/day free vs 300/day fair use). It does not say whether calls are synchronous or queued, nor what the transcript looks like (timestamps, speakers, language handling).
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three short sentences, zero filler, action stated first and operating limits immediately after. Every sentence carries distinct information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter tool with full schema coverage and no output schema, this covers the essentials an agent needs before calling: what it accepts, how big, and how often. The main remaining gap is the shape of the result and whether transcription is synchronous.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% for the single required parameter and already documents that audio_url must be a public http(s) URL. The description adds no URL syntax detail but supplies the size constraint that governs whether a given URL is acceptable.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource ('Transcribe an audio or video file to text'), and explicitly widens scope to video as well as audio. The only sibling, get_usage, is an unrelated quota-read tool, so differentiation is unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Supported formats and the 25 MB cap imply when the tool is usable, but there is no explicit when-to-use/when-not guidance or prerequisite statement. Constraint facts are not the same as routing guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
2 tool updates
- First observed
get_usage - First observed
transcribe_audio
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