Ludus FastMCP

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

No annotations are provided, so the description must fully disclose behavioral traits. It states the tool 'optimize[s] a template,' implying a mutation, but does not specify if changes are reversible, require specific permissions beyond 'admin only,' or affect performance metrics. The return is vaguely described as 'Optimization result,' lacking details on format or side effects. This leaves significant gaps for a mutation tool with no annotation coverage.

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 appropriately sized and front-loaded, starting with the core purpose. The 'Args' and 'Returns' sections add structure without redundancy. However, the 'Returns' section is overly vague ('Optimization result'), which slightly reduces efficiency as it could be more informative.

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 a mutation tool with no annotations, 0% schema description coverage, and an output schema present, the description is partially complete. It covers the basic purpose and parameters but lacks behavioral details (e.g., what optimization involves, side effects) and relies on the output schema for return values. This is adequate but has clear gaps, especially in usage context and transparency.

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?

Schema description coverage is 0%, so the description must compensate. It lists parameters in an 'Args' section with brief explanations: 'template_id: Template ID to optimize' and 'user_id: Optional user ID (admin only).' This adds meaning beyond the schema by clarifying the purpose of template_id and the admin restriction for user_id. However, it does not fully cover semantics like format constraints or examples, leaving some gaps given the low schema coverage.

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 states the tool 'optimize[s] a template for better performance,' which provides a clear verb ('optimize') and resource ('template'). However, it lacks specificity on what 'optimize' entails (e.g., resource usage, speed, cost) and does not differentiate from sibling tools like 'optimize_resource_allocation' or 'validate_template,' making it vague in context.

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?

The description offers no guidance on when to use this tool versus alternatives. It mentions 'admin only' for the optional user_id parameter, but this is a parameter detail, not usage context. There is no mention of prerequisites, when optimization is needed, or what distinguishes it from other template-related tools like 'validate_template' or 'build_template.'

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