Multi API Web Search

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

With no annotations, the description carries the behavioral disclosure burden. It does convey that this performs live external searches and can aggregate multiple engines into a consensus, but it omits operational traits like rate limits, failure behavior, and unconfigured model handling.

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 two tight sentences with no filler. The core operation is front-loaded, and the second sentence adds meaningful scope about single-model and hybrid consensus.

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?

Given no annotations, no output schema, and a sibling tool to differentiate from, the description is incomplete. It does not clarify default model behavior, expected result shape, or when to use this tool instead of web_search.

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%, so the schema already documents all parameters. The description adds no real parameter semantics beyond restating the hybrid mode that is already described in the model parameter.

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 operation: live internet search across configured API models, with an optional hybrid consensus mode. It is clear and distinct from a vague generic search, but it does not explicitly position itself against the sibling web_search tool.

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?

There is no guidance on when to choose this tool over web_search, nor when to prefer single-model vs hybrid mode. The mention of hybrid implies a capability but does not provide selection criteria.

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