Skip to main content
Glama
muend

arcgis-mcp-bridge

create_fishnet

Create rectangular fishnet grids for spatial analysis, sampling, or map production using explicit origin, cell dimensions, and grid cell counts.

Instructions

Create a rectangular fishnet or grid feature class using ArcPy CreateFishnet from explicit origin coordinates, optional Y-axis orientation, cell width, cell height, row count, column count, label point option, and output geometry type. Use this to generate sampling grids, planning units, analysis zones, index maps, polygon tiles, or polyline grid overlays before spatial join, summarize-within, raster conversion, QA/QC, or map production. Writes out_features inside a PathGuard allowed root; existing outputs require overwrite=true.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Without annotations, the description carries the transparency burden. It discloses that the tool writes outputs to a PathGuard allowed root and requires `overwrite=true` for existing outputs. It does not detail other behavioral traits like error handling or coordinate system behavior, but the core behavior is adequately described.

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

Conciseness5/5

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

The description is concise at four sentences, front-loading the core function and immediately following with use cases. Every sentence adds value without redundancy or fluff.

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

Completeness4/5

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

The description covers inputs, purpose, and constraints (overwrite, PathGuard). With an output schema present, return values are documented elsewhere. The omission of coordinate system handling is minor and typical for GIS tools.

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?

The input schema already provides detailed descriptions for all parameters, so the description adds only modest additional context (e.g., 'optional Y-axis orientation'). The baseline of 3 is appropriate given the high schema coverage; the description does not significantly enhance parameter understanding.

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

Purpose5/5

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

The description explicitly states the tool's function: creating a rectangular fishnet/grid using ArcPy CreateFishnet with specific inputs. It lists numerous concrete use cases such as sampling grids, planning units, and map production, clearly distinguishing it from sibling tools like 'create_feature_class' or 'dissolve_features'.

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

Usage Guidelines4/5

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

The description provides clear context for when to use this tool: 'before spatial join, summarize-within, raster conversion, QA/QC, or map production.' However, it lacks explicit guidance on when not to use it or alternative approaches, though given the specificity of the tool, this is a minor gap.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/muend/arcgis-mcp-bridge'

If you have feedback or need assistance with the MCP directory API, please join our Discord server