minimum_bounding_geometry

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

With no annotations, the description must disclose behavioral traits but only states that it 'reads in_features and writes a new output feature class.' It does not mention side effects, required permissions, behavior with empty inputs, or performance implications.

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

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

The description is two sentences, quick to read, and front-loaded with the primary action. It is appropriately concise but could include more detail without becoming verbose.

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

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

Given the tool has 5 parameters, no annotations, and an output schema (not described), the description lacks completeness. It does not explain the output schema, error conditions, or how grouping interacts with geometry types.

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

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

The description briefly mentions 'in_features', 'out_features', 'geometry_type', and 'grouping behavior' but adds no new meaning beyond the input schema's own descriptions. With schema description coverage at 0%, the description should provide more detailed parameter guidance.

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

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

The description clearly states 'Create bounding geometries around input features' using a specific method (ArcPy MinimumBoundingGeometry). It lists example outputs (convex hulls, envelopes, circles) and distinguishes from sibling tools that perform different operations like simplification or smoothing.

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

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

The description says 'Use this to generate convex hulls, envelopes, circles, or other summary shapes for features or groups,' providing clear intended use cases. However, it does not mention when not to use this tool, nor does it suggest alternative sibling tools for different scenarios.

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