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

With no annotations, the description carries the full behavioral burden. It discloses that the tool performs live web research, synthesizes multiple sources, and returns cited URLs, which is meaningful beyond the tool's name. However, it does not mention potential limitations such as response delays or situations where no sources can be found.

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 a single, well-structured sentence that starts with the core action, then adds the method and output detail. Every part is informative and there is no redundancy or filler.

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?

The tool has one simple parameter, no output schema, and no annotations, so the description must cover the essentials. It states the input type implicitly ('question'), the research action, and the cited-URL output. It is complete enough for typical use, though it does not explicitly describe the full response structure.

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 parameter semantics are already fully documented in the schema. The description does not add further guidance about the question format beyond what the schema states, which is acceptable given the baseline for full 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?

The description states a specific action ('Answer a question') tied to a clear method ('current web research by synthesizing evidence from multiple sources with cited URLs'). This clearly differentiates it from sibling search tools that return raw results, such as search_read or search_extract.

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 the tool is for research-backed synthesized answers rather than raw search output, but it does not explicitly state when to prefer this over alternatives or provide exclusions. The use case is inferable from the wording and sibling names, but not directly stated.

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