trident-mcp

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool lists models and capabilities, but doesn't describe key behaviors such as whether this is a read-only operation, if it requires authentication, how results are formatted, or if there are rate limits. This leaves significant gaps for an agent to understand the tool's behavior.

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

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

The description is a single, well-structured sentence that efficiently conveys the core purpose without unnecessary words. It is front-loaded with the main action and resource, making it easy to parse. Every part of the sentence earns its place by specifying what is listed and what details are included.

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

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

Given the tool's simplicity (0 parameters, no annotations, but with an output schema), the description is minimally adequate. It explains what the tool does but lacks behavioral context that annotations would normally provide. The presence of an output schema means the description doesn't need to detail return values, but it should still cover operational aspects like safety or prerequisites.

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

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

The tool has 0 parameters, and the input schema has 100% description coverage (though empty). The description adds no parameter information, which is appropriate since there are no parameters to document. A baseline score of 4 is applied for zero-parameter tools, as no additional semantic detail is needed.

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

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

The description clearly states the action ('List') and the resource ('model versions supported by this server with their capabilities'), making the purpose immediately understandable. It doesn't explicitly differentiate from sibling tools like 'get_config' or 'download_model', but the specificity of 'model versions' and 'capabilities' provides inherent distinction.

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

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

No guidance is provided on when to use this tool versus alternatives. For example, it doesn't clarify if this should be called before using tools like 'download_model' or 'text_to_3d' to check compatibility, or if it's a general discovery function. The description implies usage for listing models but offers no contextual advice.

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