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

No annotations are present, so the description carries the full burden. It states the search action and gives examples, but it does not describe return format, pagination, or whether results are markdown/JSON (leaving that to the response_format param). Since search is inherently read-only, the risk is low, but the description lacks explicit behavioral detail beyond the action.

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 exactly two sentences with no filler. The first sentence front-loads the core action and examples; the second adds a crisp usage guideline. Every word earns its place.

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 search tool with a thorough schema, the description gives essential purpose and a clear usage signal. It doesn't explain return value shape, but the response_format param hints at md/json options, and no output schema exists. The examples give a solid mental model of what 'flows' means, making it adequately complete for selecting and invoking the 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 coverage is 100% with descriptions for all 5 parameters, so the baseline is 3. The description adds context for query term examples like 'api key onboarding' and 'pricing', but does not elaborate on limit, category, direction, or response_format beyond what the schema already states. The added value is marginal.

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 'Search reference-backed user journeys' and provides concrete examples (API key onboarding, pricing selection, hospitality booking). The closing clause 'Use when the page is part of a multi-step task, not just a visual screen' distinguishes it from siblings like search_references, giving the tool a clear identity.

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 gives a usage condition: 'Use when the page is part of a multi-step task, not just a visual screen.' This tells the agent when to invoke it, though it doesn't name alternatives or exclusions, so it stops short of a perfect score.

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