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AMIRA — Africa Multiple Research Data

Get YouTube video detail

get_video
Read-onlyIdempotent

Full detail for one YouTube video: upload date and date_status, abstract, playlists, speakers, languages, the watch URL and the citable amira_url. The transcript is OMITTED by default (transcripts are large; only has_transcript + transcript_length are shown) — pass include_transcript=true and page a long one. Returns { error } if the id is unknown.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesVideo id from search_videos, e.g. 39218
transcript_offsetNoStart offset into the transcript (chars), with include_transcript
include_transcriptNoDefault false — set true to include the transcript text
transcript_max_charsNoMax transcript characters to return (default/max 25000)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so the bar is lower; the description still adds real behavior beyond them — transcripts are suppressed by default to avoid large payloads, only has_transcript + transcript_length are shown, and an unknown id yields { error }. Not fully rich (no pagination limits discussion beyond transcript_max_chars, no rate/auth notes).

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?

Front-loaded with the resource and its returned fields, then the transcript caveat, then the error case. Dense but every clause earns its place; no filler.

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?

With no output schema, the description carries the return-shape burden and does so: it names the fields returned, explains the transcript omission and its workaround, and documents the error response. Nothing essential for a correct call is missing.

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?

Schema coverage is 100%, so the schema already documents the four parameters. The description adds nuance the schema lacks: the default-off rationale, the coupling of include_transcript with transcript_offset for paging, and the error return for an unknown id.

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?

States a specific verb (get) plus resource (one YouTube video) and enumerates the returned fields (upload date, abstract, playlists, speakers, languages, watch URL, citable amira_url). An agent can distinguish this from siblings like get_research_item or search_videos without opening the schema.

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

Usage Guidelines4/5

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

Gives clear operational context: transcript is omitted by default and the caller should pass include_transcript=true and page long transcripts. It does not, however, name an alternative tool or say when not to use it (e.g. when search_videos suffices), so it stops short of explicit when/when-not routing.

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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