search_and_fetch

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

With no annotations, the description carries the full behavioral burden. It does disclose that the tool searches, ranks, and fetches pages, adding some context over the bare name. However, it omits ranking logic, output format, error behavior, rate limits, or authentication needs, leaving significant transparency gaps for a non-trivial tool.

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 extremely concise and front-loaded: two short clauses deliver the core purpose without filler or repetition. Every phrase adds value, and the structure makes the combined search-and-fetch intent immediately clear.

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 tool with 13 parameters, no output schema, and no annotations, this description is incomplete. It gives no indication of expected return values, how strategy affects behavior, how the tool interacts with sibling tools, or what 'best' means in ranking. It leaves an agent with insufficient context to use the tool effectively beyond the most basic query.

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 low (~31%, only 4 of 13 parameters have descriptions). The description does not elaborate on any parameters; the high-level phrasing ('search, rank, and fetch') only loosely maps to search_results and fetch_results but offers no semantic detail for region, language, strategy, providers, time_range, or domain filters. With low schema coverage, the description must compensate, and it does not.

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 the tool's combined action ('Search the web and fetch the best results') and introduces a distinct research-oriented workflow ('One call for research: search, rank, and fetch the best few pages'). It distinguishes from siblings only through the combined nature, without explicitly naming them or contrasting with web_search/fetch_url.

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 phrase 'One call for research' implies a use case where both search and fetch are needed, but there is no explicit when-not guidance or alternative tool references. Sibling tools like web_search and fetch_url are not mentioned, leaving the agent to infer when to use this composite tool versus separate calls.

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