loaditout-mcp-server

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

With no annotations provided, the description carries the full burden. It extensively documents the return structure (JSON object with specific fields like safety manifest, install configs, etc.), compensating for the lack of output_schema. However, it does not explicitly declare whether the operation is read-only or safe, though 'Get' implies this.

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?

Four sentences total with clear structure: purpose, return value details, positive usage condition, and negative usage condition. Every sentence provides distinct value. The comprehensive field list for the return object is justified given the absence of an output schema.

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 lack of output schema and annotations, the description is remarkably complete. It details the exact structure of the returned JSON object (including nested safety manifest fields), explains the prerequisite (knowing the exact slug), and maps relationships to sibling tools (install_skill, search_skills).

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 100% with detailed documentation for the 'slug' parameter (format, examples). The description focuses on return values and usage context rather than parameter semantics, so baseline 3 is appropriate when the schema does the heavy lifting.

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 uses specific verbs ('Get comprehensive details') and resource ('skill'). It explicitly distinguishes from siblings by naming 'search_skills' and 'recommend_skills' as alternatives for discovery, clearly delineating this tool's scope.

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?

Provides explicit when-to-use ('when you know the exact skill slug and need full metadata before installing') and when-not-to-use ('Do not use this for discovery'), along with named alternatives. This is exemplary guidance for tool selection.

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