Second opinion from several models

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

Annotations already cover the safety profile (non-destructive, non-idempotent, open-world). The description adds useful behavior: the fan-out to 2-5 models and the default model set. It omits cost/latency implications of N parallel calls and what happens when one model errors or is unavailable, which matters for a non-idempotent multi-call 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?

Two sentences, front-loaded with the mechanism and the return shape, followed by the defaults. Every clause carries information; nothing is padding.

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?

No output schema exists, and the description compensates by describing the side-by-side return. With all five parameters documented and defaults stated, the only real gap is partial-failure behavior and cost/latency expectations when querying up to five models.

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 baseline is 3; the description earns above that by naming the three default model IDs and the 2-5 range, which the schema does not supply. It adds no extra guidance on system/max_tokens/reasoning_effort beyond what the schema already documents.

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 action (send the same prompt to 2-5 models at once) and a specific return shape (every answer side by side). The multi-model fan-out is inherently what separates it from the single-conversation siblings ask/chat, so an agent can route without opening the schema.

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?

Gives concrete use cases: compare answers, check a claim, review code or a plan, break a tie. That's clear positive guidance, but it never says when not to use it or names a sibling alternative (e.g. ask/chat for a single-model exchange).

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