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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the agent knows this is a safe, idempotent read operation. The description adds that results can be filtered by query, category, and pricing, but does not disclose any additional behavioral traits beyond what the annotations and schema already convey.

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 two sentences long, front-loaded with the core purpose, and uses specific examples. Every word adds value; there is no fluff or redundancy.

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 presence of an output schema and comprehensive annotations, the description covers the essential purpose and filtering capabilities. It could be slightly improved by hinting at pagination or response structure, but the output schema likely handles that. The description is complete enough for effective use.

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%, so the baseline is 3. The description lists the three filter types (free-text, category, pricing), which mirrors the schema's descriptions without adding new meaning or usage nuances. No extra value is provided beyond what the parameter descriptions already offer.

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 it searches the legalaimcp.com directory for AI tools and MCP servers, with specific filter dimensions (free-text, category, pricing). It includes concrete examples like 'contract review' and distinguishes from sibling tools by implying that get_legal_ai_tool retrieves a single tool and list_legal_ai_categories returns category slugs.

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 explicitly says 'Use this when someone asks what AI tooling exists for legal work...', providing clear context. However, it does not explicitly state when not to use it or contrast with siblings beyond the implicit differentiation, which would improve the score to 5.

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