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SunrisesIllNeverSee

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create_pilot_configuration

Read-only

Generate a pilot configuration by specifying metrics, cohort size, and duration to benchmark operator AI usage.

Instructions

Generate a pilot configuration from parameters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
metricsNoArray of metric IDs to include (e.g., ['leverage', 'yield', 'token_snr', 'construction'])
cohort_sizeNoNumber of operators in the pilot cohort (e.g., 25, 50, 100)
duration_daysNoPilot duration in days (e.g., 30, 60, 90)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
validYes
syntheticYes
configurationYes
Behavior2/5

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

Annotations declare readOnlyHint=true, but the description adds no behavioral context beyond that. 'Generate' leaves unresolved whether the configuration is persisted, returned as an object, or merely computed, and the tool name 'create_*' sits in tension with the read-only annotation without any clarifying note. The description neither contradicts nor enriches the annotation.

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?

A single sentence with no filler; every word earns its place. It is under-specified rather than bloated, which keeps this at 4 rather than 5.

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?

The input and output schemas are rich, but the description fails to clarify the generate-vs-validate workflow, why all parameters are optional, and what the generated configuration is used for. The unusual combination of a create-style name with a read-only annotation makes behavioral context especially important, and the description provides none of it.

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?

Schema description coverage is 100%, with concrete examples for all three parameters (metrics, cohort_size, duration_days), so the schema carries the full burden. The description's 'from parameters' adds no semantic information, landing exactly at the baseline of 3.

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

Purpose4/5

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

The description states a specific verb-resource pair ('Generate a pilot configuration') that separates it from the get_* cluster and from validate_pilot_configuration. However, 'from parameters' is largely redundant since all tools take parameters, and it doesn't clarify what a pilot configuration concretely is. The action is clear enough to distinguish it from siblings, but the resource itself is left underspecified.

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 guidance is given for when to use this tool versus validate_pilot_configuration (check an existing config) or list_pilot_options (browse available configs). An agent must infer the workflow relationship between generating and validating a pilot configuration entirely on its own.

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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