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get_video
Read-onlyIdempotent

Fetch detailed information for a specific Teachable course lecture video by course, lecture, and video IDs.

Instructions

Fetch a specific video information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNoExact private school profile label; not a provider identity or authorization proof.
user_idNoSpecify the user who is watching the video
video_idYesReturn results by unique video attachment ID.
course_idYesReturn results by unique course ID that contains the lecture.
lecture_idYesReturn results by unique lecture ID.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds nothing beyond "fetch" — no note on permission/account scoping, not-found behavior, or what the returned payload contains — so it contributes little behavioral context.

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?

A single short sentence, front-loaded with the verb and resource, with no wasted clauses. It is slightly ungrammatical ("a specific video information") but structurally efficient.

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 read-only, fully annotated getter with 100% schema coverage and no output schema, the description is minimally adequate. It omits any hint of the response shape or lookup-failure semantics, which is a modest gap rather than a blocking one.

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 description coverage is 100%, with every parameter (account, user_id, video_id, course_id, lecture_id) documented in the schema itself. The description adds no parameter meaning beyond that, so the baseline 3 applies.

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 ("Fetch") and resource ("video"), so an agent knows it retrieves a single video's information. It does not, however, distinguish this from neighbors like get_lecture or get_course, so sibling differentiation is absent.

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

Usage Guidelines2/5

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

There is no guidance on when to use this versus get_lecture, get_course, or any listing tool, and no prerequisites or exclusions are stated. The agent must infer usage entirely from the name and schema.

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