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timps_ab_testing_agent

Design A/B tests with Welch's t-test power analysis and GrowthBook configuration to ensure accurate sample sizing and proper experiment setup.

Instructions

Design A/B tests with Welch's t-test power analysis and GrowthBook configuration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestNoPlain-English task or context for the agent.
languageNoPrimary programming language (default: python).python
Behavior1/5

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

No annotations are provided for this tool serious behavioral gaps. The description is a passive statement of purpose and does not disclose whether it performs mutations, requires authentication, makes external calls to GrowthBook, or what type of output (configuration snippet, plan, report) it produces. With zero annotation coverage and no behavioral details, this is severely lacking.

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

Conciseness2/5

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

The description is very short – a single sentence – which is inherently concise employment of words. However, it is under-specified to the point of being nearly a title. It lacks structure, such as listing capabilities or important details. While it has no fluff, it is overly minimal and fails to be informative enough to warrant a high score.

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?

For a tool with no annotations and no output schema, the description should compensate by explaining expected inputs (e.g., what 'request' should contain), what the tool actually produces (Welch's t-test power analysis results, a GrowthBook config snippet), and any dependencies or constraints. The description is a single sentence, not enough to guide an agent on how to interact effectively.

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

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema describes two parameters: 'request' (plain-English task) and 'language' (programming language). The description does not add more detail than the schema's own descriptions. Given 100% schema coverage, the baseline of 3 is appropriate, but the description adds no extra meaning beyond reinforcing the A/B testing context.

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

Purpose2/5

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

The description states 'Design A/B tests with Welch's t-test power analysis and GrowthBook configuration', which names a specific activity (designing A/B tests) and includes technical details (Welch's t-test, GrowthBook). However, it does not convey what the tool actually does beyond the name 'timps_ab_testing_agent' - it essentially restates the name with a phrase. It lacks clarity on whether this tool analyzes, configures, or generates something, and how it differs from sibling tools like timps_analytics_agent or timps_feature_flag.

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

Usage Guidelines1/5

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

No guidance on when to use this tool vs alternatives. It does not mention when this tool is appropriate, when not to use it, or any prerequisites. The description merely states the task in general terms without context or exclusions.

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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