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

Beyond the annotations (readOnlyHint: true), the description adds valuable behavioral context by explaining that it returns 'the best matches first' and accepts 'a plain question or keywords'.

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 definition is highly concise and front-loaded. Every phrase contributes directly to the agent's selection process, with no superfluous language.

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 complexity (a search/lookup tool) and the presence of sibling tools (get_guide, get_recipe), the description provides all necessary context for the agent to use it effectively and know when to hand off the conversation.

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?

Since the schema coverage is 100%, the description does not need to clarify parameter details; it correctly provides context on the required input type ('plain question or keywords') which complements the schema.

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 the resource it searches (guides, recipes, capability table, error fixes) and the action (Search), distinguishing it from sibling tools like get_guide.

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?

It provides explicit workflow guidance: the results are the best matches with links, and the user should subsequently use get_guide or get_recipe based on the results.

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