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minia2a-mcp-remote

x402-publish-1793712744517-agent-transcript

agent-transcript: Pay-per-call YouTube transcription API for AI agents. Method: GET. Send a YouTube video URL and get back timestamped transcript text, ready for agent consumption. $0.01 per call, paid in USDC on Base via x402.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden, and it does disclose several useful traits beyond the schema: HTTP method GET, a fixed price of $0.01 per call, and the settlement rail (USDC on Base via x402). It stops short of explaining the mechanics an agent needs before calling, such as how the payment is attached, latency, failure modes on unavailable or age-restricted videos, and length limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Four short sentences with the identity, method, input/output contract, and price all front-loaded. "Ready for agent consumption" is mildly redundant filler, but the description is otherwise free of padding.

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?

For a zero-parameter, no-output-schema tool, the critical missing piece is how the video URL is passed, and the description asserts a URL input without reconciling it against an empty schema. Pricing and output format are covered, but payment flow and error behavior are left to inference.

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

Parameters4/5

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

The declared input schema has zero properties, so the baseline is a 4, and the description does supply the one piece of semantic guidance that matters: the input is a YouTube video URL. That said, it creates tension with the empty schema by implying an argument that the schema does not declare, leaving an agent unsure how the URL is actually conveyed.

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 names a specific verb (transcribe) and resource (YouTube video) and states the output shape: timestamped transcript text. It is clearly distinct from the surrounding x402 utility siblings such as x402-pdf-text or x402-web-scrape, though it never names a sibling explicitly to route against.

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

Usage Guidelines3/5

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

Usage context is implied rather than stated: "for AI agents" plus "ready for agent consumption" signals the intended caller, and the URL-in/transcript-out framing implies the trigger condition. There is no explicit when-to-use versus when-not guidance, no coverage of video restrictions, and no alternative named for cases where a transcript already exists.

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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