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

With no annotations provided, the description carries full responsibility for behavioral disclosure. It thoroughly explains the process (four models reason independently, conflicts routed back, refined responses synthesized), the output (reasoned conclusion, agreement signal, disagreement dimensions, recommended action class), and operational details (runtime ~2-5 min, no progress shown, instructs to inform the user). This goes far beyond the schema's silent fields.

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 relatively long but well-structured: it leads with purpose and examples, then explains process, output, runtime, and ends with alternatives. Each sentence contributes meaningful information; no filler or repetition. It could be slightly tightened, but the density is justified given the tool's complexity.

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 usage context, process, output, runtime, and alternative routing, which is strong for a complex tool. However, it omits any explanation of the 11 parameters, making it incomplete for an agent that needs to construct a valid call. The output schema is absent, but the description does list return components. Overall, significant gaps remain regarding parameter usage, so completeness is only partial.

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 offers zero explanation of any of the 11 parameters (question, gate_diff, gate_repo, constraints, eval_case_id, relevant_code, relevant_paths, gate_session_id, continuation_token, options_considered, architectural_context). An agent has no guidance on what values to provide or how these fields relate to the tool's operation. The description entirely fails to compensate for the missing schema documentation.

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 opens with an explicit condition for use ('coding decision is hard to undo and there's more than one defensible answer') and enumerates concrete examples (deployment safety, architectural choices, dependency upgrades, migration timing, security review, contested merges). It clearly names the tool's purpose as deliberate multi-model reasoning, distinguishing it from the listed siblings through later contrast.

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?

Provides explicit when-to-use criteria (hard-to-undo, multiple defensible answers) and directly names alternatives with their appropriate use cases: 'For a fast broad take use synthesize_coding; for stress-testing a draft answer use audit_coding.' This leaves no ambiguity about when to select this tool over its siblings.

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