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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is well covered. The description adds meaningful behavioral context by specifying that the tool returns 'indexed public evidence and source links' and that the search scope includes non-Lazyweb products. This goes beyond the annotations without contradicting them.

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 sentence with no filler. It front-loads the action and resource, then adds scope and return-value information. Every clause contributes useful meaning for an agent deciding whether to invoke the 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 read-only search tool with fully self-documenting schema parameters and strong annotations, the description covers the core behavior and return type. It does not explain output formatting or pagination, but there is no output schema and the description's mention of 'evidence and source links' gives sufficient context for an agent to invoke the search and interpret the result. It could be slightly more explicit about how this compares to ask_anything or page_tldr, but overall it is complete enough.

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%, and each of the 8 parameters has a descriptive schema entry. The tool description itself adds no parameter-level detail, but it does not need to because the input schema already explains question, user_goal, discovery_path, alternatives_considered, and the optional fields. This matches the baseline of 3 when the schema carries the parameter documentation burden.

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 ('Search'), a specific resource ('public Lazyweb library'), and the scope of content ('products, companies, flows, research and comparisons'). It also clarifies an important boundary: the library includes pages about products other than Lazyweb. This clearly distinguishes the tool from the sibling tools by describing what it searches and what it returns.

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 this tool: when the agent wants to search the public Lazyweb library for indexed pages and evidence. However, it does not explicitly mention when not to use it or name alternatives like lazyweb_ask_anything or lazyweb_page_tldr. The usage context is present but left to inference rather than stated.

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