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

With no annotations, the description carries full behavioral disclosure. It states that four frontier models reason independently, conflicts are routed back for defense/revision, and refined responses are synthesized. It also discloses runtime (~2-5 min), lack of mid-call progress, and instructs to tell the user it's working. This is transparent about the process and output.

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 dense but each sentence adds value: trigger conditions, process, output, runtime, and alternatives. It is a bit long but not wasteful; the structure front-loads usage context and then provides operational details.

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 tool is complex with 7 parameters and no output schema, yet the description provides no guidance on how to populate parameters, what is required, or how to provide data. The output is described, but input handling is underspecified, leaving the agent without enough information to make a correct call.

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 explain any of the 7 parameters (question, assumptions, constraints, eval_case_id, relevant_data, continuation_token, options_considered). The agent has no guidance on what to supply for each field, making it impossible to correctly construct a call without external knowledge.

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 purpose: it is for financial decisions with asymmetric downside and multiple defensible answers, and it describes the output (reasoned conclusion, agreement signal, dimensions of disagreement, recommended action class). It also distinguishes itself from siblings by naming synthesize_financial and audit_financial and their different use cases.

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 description gives explicit when-to-use conditions (asymmetric downside, more than one defensible answer) and provides alternatives: 'For a fast broad take use synthesize_financial; for stress-testing a draft thesis use audit_financial.' It also mentions runtime and the need to inform the user, which is practical usage guidance.

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