Skip to main content
Glama

x402-avatar-generate

Avatar Generate: Avatar Generate

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoName to process
seedNoSeed to process
inputNoInput to process
styleNoStyle to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.6/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing. There is no mention of what generation entails, what is produced, whether network/image resources are involved, or any side effects. The description is behaviorally empty.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences short, but every word is wasted repetition of the tool name. This is under-specification, not conciseness — there is no front-loaded useful information and no sentence that earns its place.

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

Completeness1/5

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

For a tool with 4 parameters, no output schema, and no annotations, the description is almost entirely missing. An agent cannot determine how to construct a valid request, what response to expect, or even what domain the tool operates in (image generation, initials, blockchain ENS avatars, etc.).

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 baseline is 3 even though the description text adds no parameter meaning. The schema's own descriptions ('Name to process', 'Seed to process') are vague, but the tool description provides zero additional semantics on top of them.

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

Purpose1/5

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

The description is literally 'Avatar Generate: Avatar Generate' — a direct restatement of the tool name with no verb, resource, or functional detail. It is a pure tautology and gives an agent no idea what the tool actually does, such as whether it creates image files, returns URLs, or processes existing images.

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?

No usage context or alternatives are mentioned. With siblings like x402-ens-avatar, x402-initials-avatar, and x402-gravatar nearby, an agent has zero guidance on when to choose this tool over them. The absence of guidance is not misleading, but it is a complete failure to help with selection.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources