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demeet2k

Athena MCP Server

by demeet2k

athena_sequential_dr_policy_crossfit

Estimate two-timepoint dynamic treatment policy value via cross-fitted sequential DR with out-of-fold nuisance predictions. Supports baseline-only or baseline-plus-intermediate policies.

Instructions

Estimate deterministic two-timepoint dynamic-policy value with out-of-fold sequential AIPW nuisance predictions. A1 policies may use baseline only; A2 policies may use baseline+A1+L1 only. PLAN_ONLY and assumption-scoped.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNo
foldsNo
outcomeYes
samplesYes
baselineNo
policiesYes
treatment1Yes
treatment2Yes
assumptionsNo
intermediateYes
propensity_clipNo
Behavior3/5

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

With no annotations, the description carries the burden and does reveal the estimation method, cross-fitting, and policy constraints. However, it does not clarify whether the tool is read-only, what 'PLAN_ONLY' means, or what is returned. The assumption-scoping hint is useful but underdeveloped.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no filler, and the main function is front-loaded. The heavy jargon reduces clarity, but it remains compact and to the point.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (11 parameters, nested objects, no output schema), the description is insufficient. It omits required input structure, return format, and clear explanations of 'PLAN_ONLY' and 'assumption-scoped'. An agent would struggle to invoke this tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

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 most parameters. It provides indirect clues (e.g., A1 and A2 policies map to baseline/treatment1/intermediate/treatment2), but leaves samples, folds, seed, propensity_clip, and assumptions undefined.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states the tool estimates a deterministic two-timepoint dynamic-policy value using out-of-fold sequential AIPW. It clarifies the policy structure (A1 uses baseline, A2 uses baseline+A1+L1) and distinguishes from siblings like athena_sequential_dr_policy_value by mentioning crossfit/out-of-fold.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit when-to-use or alternatives are mentioned. The A1/A2 policy constraints describe allowed policy inputs, not usage scenarios. 'PLAN_ONLY' and 'assumption-scoped' are vague and do not help an agent choose between this and similar estimators like athena_longitudinal_tmle_crossfit.

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

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