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CrownJoker07

thinkingdata-readonly

by CrownJoker07

query_distribution_analysis

Read-only

Examine how event metrics distribute across event or user properties to identify behavioral patterns and outliers.

Instructions

Query how an event metric is distributed over a property.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
eventYes
metricYes
time_rangeYes
distribution_propertyYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
sourceYes
return_codeYes
return_messageYes
Behavior2/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is clear. The description adds no additional behavioral context such as return format, data granularity, or how distribution is computed, offering no value beyond the annotations.

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

Conciseness3/5

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

The description is a single sentence, which is concise, but it is under-specified rather than appropriately concise. It states the core purpose but omits necessary details, so the brevity does not fully serve the agent.

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 tool's complexity (4 required parameters, nested objects, and an output schema) and its sibling tools, the one-sentence description is inadequate. It does not explain what 'distribution' means, how the property is specified, or what the output contains, leaving significant gaps.

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

Parameters1/5

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 any of the four required parameters. While the schema has meaningful names, the description fails to add any semantic meaning beyond what is in the schema, leaving the agent without guidance on parameter usage.

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 clearly states the tool queries how an event metric is distributed over a property, using a specific verb and resource. It is distinguishable from siblings like query_event_analysis by the focus on 'distribution over a property,' though it does not explicitly name alternatives.

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?

The description provides no guidance on when to use this tool versus alternatives such as query_event_analysis or query_user_property_analysis. It only states the action without any contextual scenarios 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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