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arcgis-mcp-bridge

create_fishnet

Create a regular rectangular grid (fishnet) as polygons or lines for sampling, analysis, or planning. Define origin, cell dimensions, and row/column count to generate a new feature class.

Instructions

Create a regular rectangular grid or fishnet feature class using ArcPy CreateFishnet. Use this to build sampling grids, analysis cells, index maps, planning units, or raster-like vector zones from an origin, cell size, row/column count, and geometry type. Writes a new grid dataset inside a PathGuard allowed root.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It mentions writing to a PathGuard-allowed root and references ArcPy CreateFishnet, but omits key details such as whether the tool is destructive, required permissions, coordinate system handling, or side effects like overwrite behavior (though the schema includes an overwrite parameter).

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?

The description is concise with two sentences, front-loading the action and use cases. It avoids unnecessary details and wastes no words, though it could benefit from a more structured format.

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 complexity of an ArcPy tool with many parameters and no annotations, the description is insufficient. It fails to mention prerequisites (e.g., ArcGIS license, spatial reference requirements), constraints on cell size units, or how the output schema is structured (though output schema exists). The description leaves significant gaps for an agent to infer.

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

Parameters2/5

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

Schema description coverage is 0% per context, so the description must compensate. It briefly lists key parameters (origin, cell size, row/column count, geometry type) but does not explain their meaning, valid ranges, or interactions. The description adds marginal value beyond a summary.

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 creates a regular rectangular grid or fishnet using ArcPy CreateFishnet and lists explicit use cases like sampling grids and analysis cells. It distinguishes itself from generic feature class creation, but does not explicitly differentiate from sibling tools like create_feature_class.

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

Usage Guidelines3/5

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

The description implies usage for building grid-based datasets, but lacks explicit instructions on when not to use or how it compares to alternatives like create_feature_class or other grid tools. No exclusions or prerequisites are mentioned.

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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