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Galbaz1

video-research-mcp

by Galbaz1

Video Detect Scenes

video_detect_scenes

Detect hard visual cuts in a video and return contiguous scene intervals with actual source presentation timestamps (PTS).

Instructions

Detect hard visual cuts and return contiguous intervals with actual source PTS.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestYesExact local source, bounded window and explicit hard-cut threshold; no semantic scene claim

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.7.1

TDQS

C2.7/5.0
Behavior1/5

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

The annotations declare readOnlyHint=false, but the description ('Detect... and return') implies a read-only operation with no side effects. This is a contradiction. Even beyond that, the description adds no detail about what state is modified, authentication needs, or rate limits.

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?

The description is a single, front-loaded sentence with no wasted words. It is appropriately concise.

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

Completeness2/5

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

For a tool with a complex nested request object and many siblings, the description is too sparse. It does not explain how to choose this tool over alternatives, nor does it clarify the meaning of parameters like threshold or max_cuts. Although an output schema exists, the description fails to provide sufficient context for correct invocation.

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%, so the schema documents the parameters. The description itself adds no parameter-level meaning; it only describes the output.

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 action (detect hard visual cuts) and a specific output (contiguous intervals with actual source PTS). It does not, however, differentiate this tool from siblings like video_analyze or video_frames; an agent must infer that this is for cut detection rather than semantic analysis.

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 tool versus alternatives such as video_analyze or video_storyboard. No prerequisites or exclusions are mentioned.

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

Deploy Server

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