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QGIS MCP

QGIS MCP

by lefcgis
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Delete Field

delete_field
Destructive

Remove a field from a vector layer by specifying the layer ID and field name, simplifying attribute management.

Instructions

Delete a field from a vector layer.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "layer_id": "<layer_id>",
      "field_name": "<field_name>"
    },
    "name": "delete_field"
  }
}

Input Schema

NameRequiredDescriptionDefault
layer_idYes
field_nameYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.0

TDQS

C2.5/5.0
Behavior2/5

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

Annotations include destructiveHint: true, but the description adds no extra behavioral details beyond that. It does not mention whether the operation is permanent, what happens to related data (e.g., if the field has constraints), or any confirmation steps.

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 a single sentence of 6 words, which is overly terse. While concise, it sacrifices critical information. The key details (parameters, effects) are missing, making it insufficient for reliable tool selection.

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 lack of parameter descriptions, output schema, and behavioral context, the description is severely incomplete. The agent cannot understand how to use the tool correctly without guessing parameter meanings or side effects.

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?

With 0% schema coverage, the description must explain the parameters. It does not mention 'layer_id' or 'field_name' at all, leaving the agent to guess their meanings. No formats, constraints, or examples are provided.

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 clearly states the action (delete) and the resource (field from a vector layer), making it immediately understandable. It also distinguishes itself from sibling tools like add_field and rename_field by specifying 'delete'.

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 is provided on when to use this tool versus alternatives, prerequisites, or when not to use it. The description lacks context about required permissions or potential downstream effects such as data loss.

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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