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

With no annotations, the description carries the behavioral burden and does so well: it discloses that four frontier models run in parallel, the answer is synthesized, an alignment signal is included, and latency is ~15-30s. This explains the tool's core behavior and constraints, though it omits minor details like failure modes or side effects.

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 front-loaded with the key usage decision and alternative routes, and every sentence adds information about mechanism or latency. It is slightly long and meandering in the middle, but still economical for the amount of routing guidance it provides.

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?

The description covers purpose, latency, mechanism, and alternatives, but it lacks return-value detail (beyond 'alignment signal') and leaves the parameters under-documented. Given the absence of an output schema and annotations, this is a noticeable but not crippling gap.

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%, and the description does not compensate beyond implying that 'question' holds a financial question. The roles of 'context', 'eval_case_id', and 'continuation_token' are entirely unexplained, so an agent may struggle to invoke the tool correctly.

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 clear verb-resource pairing: synthesize a fast multi-model second opinion on financial questions. It explicitly distinguishes itself from deliberate_financial and audit_financial, so an agent can select it without inspecting other tools.

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 gives explicit when-to-use context ('fast', 'right matters but you don't have time for full deliberation') and names the exact alternatives for other cases, including high-stakes decisions and trade-thesis stress-testing. This is textbook routing guidance.

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