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See a video frame by frame

get_frames

One video's labelled frame sheets as images, so you can see the reference instead of guessing from text: the hook (first 3 s at 0.25 s steps), one frame per shot, and the whole film at fixed steps where measured. sheet "transitions" adds every frame around each cut and in-shot change, for timing transitions to the frame. Each image follows a caption saying how its labels read. Accepts the same ids as get_blueprint.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesREF-0005, a refs.video/v/… link, a YouTube/X link, an id from search_videos, or one of your brand films (brand:<import>:<film>)
sheetNoDefault all (hook, shots and timeline; ask for "transitions" separately)
contextYesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
llm_modelYesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it enumerates what each sheet contains (hook = first 3s at 0.25s steps, shots = one frame per shot, timeline = whole film at fixed steps, transitions = every frame around each cut) and notes each image is captioned. It doesn't address cost, size, or auth characteristics of an image-returning operation, which is the remaining gap.

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?

Purpose is front-loaded in the opening clause before the sheet breakdown, and the dense parentheticals are informative rather than filler. It runs slightly long with stacked clauses about the transitions sheet, but every sentence earns its place.

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 4-param tool with no output schema, the description supplies the return format (labelled frame sheets as images, each followed by a caption) and the sheet semantics, which is what an agent most needs. It omits any note on the two analytics-only params, but those are already fully documented in the schema.

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 baseline is 3, but the description adds real meaning beyond the schema: the enum description only states the default while the prose defines what each sheet actually contains (hook/shots/timeline/transitions semantics) and clarifies the id domain by linking it to get_blueprint.

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+resource: retrieves one video's labelled frame sheets as images, clarifying this is visual reference rather than text. It actively distinguishes itself from the sibling get_blueprint by noting it accepts the same ids while returning visual sheets, so an agent can tell the two apart without opening a 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?

Provides clear usage context via "so you can see the reference instead of guessing from text" and gives a conditional directive for the transitions sheet ("for timing transitions to the frame... ask for 'transitions' separately"). It lacks explicit when-not guidance or naming of alternatives beyond the id-compatibility nod to get_blueprint, so it stops short of a 5.

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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