research

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

With no annotations, the description carries the full burden. It discloses the meaningful two-phase behavior (search then auto-fetch top N pages) and that content is extracted and returned, which is genuinely useful. But it omits failure modes, latency implications of fetching multiple pages, and truncation/error behavior, so coverage is adequate rather than rich.

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?

Front-loaded with what the tool does, then usage advice, then a compact Args list — logical and easy to scan. The Args block partially overlaps the schema titles, but each line adds meaning, so nearly every sentence 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 7-parameter tool with no annotations, the description plus the available output schema are close to sufficient: the pipeline behavior, parameters, and even the time_range domain are covered. Remaining gaps are edge behavior and relative positioning versus the separate search/fetch tools.

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, and it largely does: every one of the 7 args is given meaning, defaults are restated for max_results/fetch_top/max_chars_per_page, and time_range even supplies enum semantics (d/w/m/y) absent from the schema. 'region: Region code' remains vague, keeping it short of a 5.

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?

States a specific composite verb+resource: "searches, then fetches the top N result pages" and specifies what is returned ("full extracted content for the top hits"). This clearly distinguishes it from the plain sibling tools fetch and search, though it never names those siblings as the alternatives it subsumes.

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 offers real guidance on query construction — "don't just pass raw user questions. Reformulate into precise search operators" — which is actionable. However, it gives no when-to-use/when-not guidance relative to the siblings search and fetch, or when the separate tools would be preferable; usage of the tool itself is only implied.

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