athena_dynamic_policy_value

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

No annotations are present, so the description carries the full burden of disclosing behavior. It only offers the cryptic qualifiers 'Assumption-scoped and PLAN_ONLY' and does not explain return values, side effects, permissions, or computational implications. This is insufficient for a complex statistical 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?

The description is extremely concise, consisting of two short sentences with the core function front-loaded. There is no filler, and every phrase adds information, even if the information is cryptic.

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 8 parameters, nested object schemas, no output schema, and no annotations, the description provides only a high-level method and mode. It does not describe expected outputs, the structure of samples or policies, or how assumptions are specified, leaving major gaps for correct invocation.

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 define any individual parameters. While 'two-timepoint' loosely maps to treatment1/treatment2 and 'policies' to the policies parameter, the roles of samples, intermediate, baseline, and assumptions remain undefined.

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 uses a specific verb ('Value') and identifies a precise resource ('deterministic two-timepoint treatment policies') and method ('bounded longitudinal parametric g-formula'). This distinguishes it from related tools like athena_longitudinal_gformula and athena_sequential_dr_policy_value by scope and method.

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 phrase 'Assumption-scoped and PLAN_ONLY' conveys a context constraint (planning only, under assumptions), but it does not explicitly state when to use this tool versus alternatives or provide exclusions. No sibling tools are referenced as alternatives.

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