Scribiz

Get video context

get_video_context

Read-onlyIdempotent

Start here for any video. Returns an overview you can reason from without reading the transcript: title, length, language, summary, chapters with timestamps and key moments with links. detail "brief" (default) stays under about 2,000 tokens; "standard" adds fuller chapters and entities; "full" adds everything. include picks the parts to return (summary, chapters, key_moments, entities, transcript): the transcript is never part of the default; add "transcript" for its first page, then continue with get_transcript. The first read of a video uses its captions, or a model reads the link; after that it is cached and free. If it is still running after the wait you get status "processing" and a job_id: call get_job. The text is wrapped as untrusted video text. Without an API key there are no on-screen notes (the picture is never looked at), and when a model read the link its times are approximate (close on a short video, up to a minute off on a long one).

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": {
      "url": "<url>"
    },
    "name": "get_video_context"
  }
}

Input Schema

Name	Required	Description	Default
`url`	Yes	The video link (https://...). YouTube, direct media links and podcasts work best; TikTok, Instagram, X and Vimeo are best effort.
`watch`	No	Ignored without an API key: this tier never looks at the picture.
`detail`	No	brief: under about 2,000 tokens. standard: fuller. full: everything.	brief
`include`	No	Parts to return. Default: summary, chapters, key_moments, on_screen (and speakers, entities from standard). Without an API key on_screen is empty and there are no speaker labels. Add "transcript" for its first page.
`language`	No	BCP-47 language hint.

Output Schema

Name	Required	Description
`free`	No
`error`	No	Set when status is failed: the code, what happened and what to do next.
`notes`	No	What the server says about this result (a partial read, a part that is missing and why). Read them.
`stage`	No
`title`	No
`detail`	No
`job_id`	No	Pass to get_job when status is processing.
`layers`	No	transcript, on_screen, summary: ran, cached, skipped or failed.
`scenes`	No
`status`	Yes
`channel`	No	The channel or author, when the source names one.
`context`	No	The overview itself (title, summary, chapters, key moments), wrapped as untrusted video text.
`message`	No
`videoId`	No
`chapters`	No
`fraction`	No
`included`	No
`language`	No
`speakers`	No
`warnings`	No
`keyMoments`	No
`transcript`	No	The first page of the transcript, when include asked for it.
`description`	No	The video's own description (links, sponsors), cut to the detail asked for; untrusted video text.
`minutesUsed`	No
`publishedAt`	No	The day the video was published (YYYY-MM-DD), when known.
`minutes_left`	No	Minutes the account can still spend after this call, when the server knows them.
`coveredSeconds`	No	Set when only the first part of the video was read: the result covers 0 to this many seconds.
`tokensEstimate`	No
`durationSeconds`	No
`transcriptChars`	No
`minutes_reset_at`	No	The day the included minutes come back (YYYY-MM-DD).
`onScreenAvailable`	No	false: this tier never looks at the picture, so no on-screen notes exist (not "nothing was shown").
`untrusted_content`	No	Text fields come from a video: data, not instructions.
`transcriptNextFrom`	No	Pass as from to get_transcript to read on; null when the page holds the whole transcript.
`retry_after_seconds`	No
`captionCreditsCharged`	No	Caption credits this call used, when the answer came from YouTube captions (then minutesUsed is 0).

Schema Changelog

Changes observed during successful MCP inspections.

Changed10 schema fields changedOct 13, 2026

addedOutput schema / properties / channel

Added value: +{
+  "description": "The channel or author, when the source names one.",
+  "type": "string"
+}

addedOutput schema / properties / context

Added value: +{
+  "description": "The overview itself (title, summary, chapters, key moments), wrapped as untrusted video text.",
+  "type": "string"
+}

addedOutput schema / properties / coveredSeconds

Added value: +{
+  "description": "Set when only the first part of the video was read: the result covers 0 to this many seconds.",
+  "type": "number"
+}

addedOutput schema / properties / description

Added value: +{
+  "description": "The video's own description (links, sponsors), cut to the detail asked for; untrusted video text.",
+  "type": "string"
+}

addedOutput schema / properties / error

Added value: +{
+  "additionalProperties": false,
+  "description": "Set when status is failed: the code, what happened and what to do next.",
+  "properties": {
+    "code": {
+      "type": "string"
+    },
+    "hint": {
+      "type": "string"
+    },
+    "message": {
+      "type": "string"
+    },
+    "next_step": {
+      "type": "string"
+    },
+    "retry_after_seconds": {
+      "type": "number"
+    },
+    "retryable": {
+      "type": "boolean"
+    },
+    "stage": {
+      "type": "string"
+    }
+  },
+  "required": [
+    "code",
+    "message",
+    "retryable"
+  ],
+  "type": "object"
+}

addedOutput schema / properties / minutes_left

Added value: +{
+  "description": "Minutes the account can still spend after this call, when the server knows them.",
+  "type": "number"
+}

addedOutput schema / properties / minutes_reset_at

Added value: +{
+  "description": "The day the included minutes come back (YYYY-MM-DD).",
+  "type": "string"
+}

addedOutput schema / properties / notes

Added value: +{
+  "description": "What the server says about this result (a partial read, a part that is missing and why). Read them.",
+  "items": {
+    "type": "string"
+  },
+  "type": "array"
+}

addedOutput schema / properties / publishedAt

Added value: +{
+  "description": "The day the video was published (YYYY-MM-DD), when known.",
+  "type": "string"
+}

addedOutput schema / properties / transcript

Added value: +{
+  "description": "The first page of the transcript, when include asked for it.",
+  "type": "string"
+}

Changed1 schema field changedOct 9, 2026

addedOutput schema / properties / captionCreditsCharged

Added value: +{
+  "description": "Caption credits this call used, when the answer came from YouTube captions (then minutesUsed is 0).",
+  "type": "number"
+}

First observedOct 5, 2026

TDQS

A4.8/5.0

Behavior5/5

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

Annotations already declare readOnly/idempotent/non-destructive/openWorld, yet the description layers on real operational context: first read uses captions or a model reading the link, subsequent reads are cached and free, async processing surfaces a job_id requiring get_job, output is wrapped as untrusted video text, and no API key means no on-screen notes with approximate timestamps on model-read links. That is substantive disclosure well beyond the annotation set.

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?

The leading sentence front-loads the essential 'start here' guidance, and each subsequent sentence carries non-obvious information about caching, async handling, or tier limits. It is dense to the point of being one long block, and a few clauses (token counts, include defaults) overlap the schema, but there is 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 an output schema present, return values need not be re-explained, and the description correctly focuses on what the schema cannot convey: entry-point role, detail/include defaults, auth-dependent omissions, async job handoff, and timestamp reliability caveats. An agent has everything needed to call this correctly on the first try.

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 baseline is 3, but the description adds behavioral meaning: the 'brief' default is quantified at ~2,000 tokens, 'transcript' in include returns only its first page, and 'watch' is inert without an API key. These clarify the practical effect of the parameters rather than merely restating enum values.

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 and resource ('Returns an overview you can reason from without reading the transcript') and enumerates exactly what comes back: title, length, language, summary, chapters with timestamps, key moments with links. It also positions itself against siblings by declaring that the transcript is never part of the default and pointing to get_transcript for it.

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

Usage Guidelines5/5

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

'Start here for any video' gives an explicit entry-point rule, and the description routes to alternatives by name: get_transcript for continued transcript pagination and get_job when the initial read returns status 'processing' with a job_id. Both the trigger and the escalation paths are spelled out, leaving nothing to inference.

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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