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Get lecture audio

get_lecture_audio
Read-onlyIdempotent

Say whether a lecture has a recording (format, length) and get a one-click link to the lecture page, where it plays.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "lectureId": "<lectureId>"
    },
    "name": "get_lecture_audio"
  }
}

Input Schema

NameRequiredDescriptionDefault
lectureIdYesLecture id

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations cover read-only, idempotent, non-destructive behavior, but the description adds meaningful output context: it returns whether a recording exists, its format and length, and a one-click link. This is valuable since no output schema exists. It doesn't detail error cases or link expiration, but adds enough beyond annotations.

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?

A single, front-loaded sentence that packs the core behavior (availability check, format, length, link) without any waste or redundancy.

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

Completeness4/5

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

For a simple one-parameter read-only tool with no output schema, the description adequately explains what the tool returns (format, length, link). Minor gaps like error handling or what happens if no recording exists are acceptable given the tool's low complexity.

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 single parameter (lectureId) is documented. The description adds no additional parameter semantics, so baseline 3 applies when the schema already carries the parameter documentation.

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 states a specific verb+resource: 'Say whether a lecture has a recording (format, length) and get a one-click link'. It clearly distinguishes from a generic get_lecture by focusing on audio availability and playback link, but does not explicitly name sibling alternatives.

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 is implied by 'Say whether a lecture has a recording', suggesting it's used when checking for audio presence. However, there is no explicit when-to-use vs alternatives, no prerequisites, and no exclusions (e.g., 'use get_lecture for full lecture details').

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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