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

With no annotations, the description carries the full burden of behavioral disclosure. It clearly indicates the operation is a search (implying read-only) and mentions the auth requirement (caller_key). However, it does not explain how results are ranked, whether any side effects exist, or how max_results affects behavior. It adds some value but leaves gaps.

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 concise sentences, front-loaded with the tool's purpose, followed by the essential auth prerequisite. Every sentence earns its place with no redundant wording.

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 tool's simplicity and the presence of an output schema, the description covers the core purpose and the auth requirement. It does not detail query construction or max_results handling, but the tool is straightforward and the output schema likely fills return-value gaps. It is nearly complete for a search tool.

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 0%, so the description must compensate for parameter meaning. It only addresses caller_key ('Requires a valid caller_key'), while query and max_results are not explicitly explained. The domain context in the description gives some hint about query content, but the description does not meaningfully clarify the parameters beyond the schema field names themselves.

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 states a specific verb ('Searches') and a well-defined resource ('current medical research on joint pain, osteoarthritis, and relief options'), and clarifies the output ('returns the most relevant matching passages'). It is clear, though no sibling differentiation is needed since no siblings are provided.

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 implies when to use the tool by stating its function, but it does not explicitly provide usage context, prerequisites beyond caller_key, or guidance on when not to use it. There are no alternative tools to compare against, so the absence of exclusions is less critical.

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