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hayhihey

Google AI Edge Gallery Video MCP Server

by hayhihey

edge_models_manager

Manage Google AI Edge Gallery models: list, verify, or get recommendations for Gemma, MobileDiffusion, and MediaPipe tasks like storyboarding, captioning, and image generation.

Instructions

Inspects and manages Google AI Edge Gallery models (Gemma 2, Gemma 3n, MobileDiffusion, MediaPipe tasks).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskNo
actionNolist

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the full behavioral burden. It states 'Inspects and manages' but doesn't clarify whether actions are read-only, destructive, or require authentication. It also doesn't describe side effects, return formats, or limitations, leaving critical behavioral traits undisclosed.

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 description is a single, efficient sentence that front-loads the tool's purpose. It avoids unnecessary words and structure is clear, though it could benefit from additional sentences for guidelines or behavior.

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?

Given no annotations, no output schema, and 0% parameter description coverage, the description is insufficient. It fails to explain how to use the parameters, what the tool returns, or how it differs from siblings. An agent would struggle to invoke it correctly without trial and error.

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%, and the description provides no information about the parameters. The input schema defines 'task' and 'action' with enums, but the description doesn't explain what these parameters do or how they affect behavior. For example, it doesn't mention that 'action' controls list/get_recommended/verify operations or that 'task' filters by capability.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a verb ('Inspects and manages') and a resource ('Google AI Edge Gallery models'), which is clearer than a tautology. However, the description is too broad to distinguish it from siblings like edge_storyboard_plan or edge_generate_keyframes, which likely interact with the same models. The specific examples (Gemma, MobileDiffusion, MediaPipe) hint at scope but don't clarify the tool's unique role.

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 explicit guidance on when to use this tool versus alternatives. The description mentions model names but doesn't explain scenarios, prerequisites, or exclusions. With seven sibling tools in the edge_* space, this leaves the agent guessing about appropriate context.

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