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reka-ai

Reka Vision MCP Server

Official
by reka-ai

create_group

Create a video group to bundle videos into a named collection. Use the returned group ID and name to organize and manage video assets.

Instructions

Create a new video group. Groups organize videos into collections. Returns the new group's ID and name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
rationaleNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.10

TDQS

A3.6/5.0
Behavior3/5

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

With empty annotations, the description carries the full behavioral burden. It discloses the core side effect (creating a new group) and the return values, but it does not address potential issues like duplicate names, permissions, persistence, or effects on existing videos. This is adequate for a simple create operation but not deeply transparent.

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 three short sentences with no filler. The action is front-loaded, the context sentence earns its place, and the return-value sentence is concise. It is appropriately sized for a simple create tool.

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 low-complexity create tool with an output schema, the description covers the primary action and return value. However, it leaves the optional 'rationale' parameter unexplained and omits behavioral constraints like name uniqueness or permissions. It is usable but not fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must explain the parameters. It does not mention 'name' or 'rationale' at all; 'name' is inferable from the schema title, but 'rationale' remains unclear. The description fails to compensate for the lack of schema-level documentation.

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?

The description states a clear action ('Create'), a specific resource ('video group'), and the return value (ID and name). This differentiates it from sibling tools like list_groups, delete_group, and video-level operations.

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

Usage Guidelines3/5

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

The description gives context ('Groups organize videos into collections') that implies when creating a group is useful, but it does not explicitly state when to use this tool versus alternatives or any exclusions. Usage guidance is largely implied rather than stated.

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