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buffer_layer

Idempotent

Buffer all features by a distance in meters, reprojecting geographic coordinates to UTM for accurate results and recording provenance. Flags suspicious outcomes via warnings.

Instructions

Buffer all features by a distance in meters.

Geographic-CRS inputs are reprojected to an estimated UTM zone for the metric operation and back; the decision is recorded in the provenance manifest. A warnings key in the result flags a suspicious-but-valid outcome with a hint — e.g. a negative distance that eroded every geometry away.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
input_pathYes
output_pathYes
distance_metersYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

A3.8/5.0
Behavior4/5

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

Beyond the annotations, the description discloses non-obvious behavior: geographic CRS inputs are reprojected to a UTM zone for the metric operation and back, the decision is recorded in the provenance manifest, and a warnings key flags suspicious valid outcomes. This adds meaningful operational context that annotations alone do not provide.

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 and front-loaded with the core action. Each subsequent sentence adds meaningful detail about reprojection, provenance, or warnings without filler or repetition.

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?

An output schema exists, so return-value structure is already covered. The description sufficiently covers operation scope, distance units, projection handling, provenance, and warnings. Minor gaps such as explicit output_path overwrite behavior are not critical given the idempotent and non-destructive annotations.

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 schema has 0% description coverage, so the tool description must compensate. It clarifies that distance is in meters and that all features are buffered, which adds real value. However, input_path and output_path semantics are left entirely to inference, so the compensation is only partial.

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 uses a specific verb and resource: 'Buffer all features by a distance in meters.' It clearly identifies the core operation and distinguishes it functionally from siblings like clip_layer or dissolve_layer, though it does not explicitly name or contrast those sibling tools.

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?

Usage is implied by the title and first sentence: use this when you need to buffer features by a metric distance. There is no explicit guidance about when not to use it or which sibling tool to prefer for related operations, so the guidance is present only by implication.

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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