DevOps MCP

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

No annotations provided, so description carries full burden. Adds valuable context about external source (GitHub) and content structure. However, lacks disclosure of error behavior (missing skill), caching, return format, or safety profile (read-only vs destructive).

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?

Two well-structured sentences with zero waste: first defines operation and content, second specifies usage trigger. Information is front-loaded and appropriately sized for a single-parameter tool.

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?

For a simple fetch tool with 100% schema coverage and no output schema, the description adequately covers purpose, source, and usage context. Minor gap: could explicitly mention relationship to list_skills for skill discovery.

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 has 100% description coverage ('The name of the skill to fetch'), establishing baseline 3. Description does not add syntax details, examples, or constraints (e.g., case sensitivity, naming conventions) beyond what the schema provides.

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?

States specific verb ('Fetches'), resource ('DevOps skill'), source ('GitHub'), and content types ('documentation templates, code standards'). The action clearly contrasts with sibling 'list_skills' (retrieve content vs enumerate available items).

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 positive guidance ('Use when the user requests to generate documentation, apply standards, or use a template'). Lacks explicit negative constraints or mention of when to use sibling 'list_skills' first to discover available skill names.

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