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join_counts_local

Calculate local join counts statistics for a shapefile to identify spatial clusters of a categorical dependent variable, with adjustable distance threshold and coordinate reference system.

Instructions

Local Join Counts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
shapefile_pathYes
dependent_varNoLAND_USE
target_crsNoEPSG:4326
distance_thresholdNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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

No annotations are provided, and the description fails to disclose any behavioral traits such as computational cost, data requirements, or side effects. The agent has no insight into what the tool does beyond the name.

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 extremely short but not informative. Conciseness is positive, but here it sacrifices clarity and utility. Every sentence should earn its place, and this one does not.

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

Completeness1/5

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

Given the existence of an output schema, the description could be shorter, but it still must provide enough context for the agent to choose this tool over siblings. The complete lack of detail makes it insufficient.

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?

The input schema has 4 parameters with no descriptions in the schema (0% coverage). The tool description does not explain any parameter meanings, leaving the agent to infer from parameter names alone.

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 'Local Join Counts.' is vague. It does not specify what the tool does with join counts or how it differs from its sibling 'join_counts', which presumably performs a global join count. The verb is implied but not explicit.

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 on when to use this tool versus alternatives like 'join_counts' or other spatial analysis tools. The description lacks context on prerequisites or typical use cases.

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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