loaditout-mcp-server

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

No annotations provided, so description carries full burden. It discloses the return format (JSON array of 5 skills with specific fields: slug, name, description, quality_score, install_command). However, it doesn't explicitly state whether this is a safe/read-only operation versus the sibling install_* tools, though implied by 'suggest'.

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?

Perfectly structured and front-loaded: purpose statement, return value specification, positive usage condition with examples, and negative usage condition with alternatives. Four sentences with zero redundancy—every clause provides actionable information for tool selection.

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?

Comprehensive for a recommendation tool with no output schema. Compensates for missing structured output by detailing the return format (5 ranked skills with specific fields). Sibling differentiation is explicit, and parameter documentation is complete via schema. No gaps given the tool's complexity.

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 descriptions and examples for all three parameters (task, current_tools, agent_type). The description text focuses on purpose and usage rather than repeating parameter semantics, which is appropriate when the schema is self-documenting. Baseline 3 for high 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?

Description provides specific verb-resource combinations ('analyze a task', 'suggest skills') and clearly defines the scope (filling capability gaps). It distinguishes from siblings by contrasting with 'general browsing' and 'when you already know what skill you need'.

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?

Explicit when-to-use ('when you encounter a task that requires capabilities you do not have') with concrete examples (database access, browser automation). Explicit when-not-to-use naming specific alternatives ('use list_categories instead', 'use search_skills instead'), creating clear decision boundaries between sibling tools.

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