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delete_column

Destructive

Delete a column and every value stored in it permanently. Confirm with the user first; use update_column to fix column name, type, or options.

Instructions

Delete a column and every value stored in it. Destructive — confirm with the user first. Use update_column when the column is right but its name, type or options are wrong.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
boardIdYes
columnIdYes
projectIdYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.7.0

TDQS

A4.4/5.0
Behavior5/5

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

Annotations already mark destructiveHint=true and readOnlyHint=false, but the description adds specific behavioral context: all stored values are deleted, and user confirmation is required. This exceeds what annotations provide and does not contradict them.

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?

Two sentences with zero filler: the action and consequence are front-loaded, and the alternative is stated compactly. Every word contributes to the tool's correct selection and safe use.

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 is sufficient for a simple destructive delete operation, covering purpose, usage, and safety. The only shortfall is the lack of explicit parameter mapping, which is mitigated by self-descriptive IDs but still leaves an inference step.

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%, so the description must compensate by explaining the parameters. It does not mention projectId, boardId, columnId, or how they scope the deletion. The parameter names are self-explanatory, but the description adds no additional semantic value.

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 uses the verb 'Delete' with a specific resource and consequence: 'a column and every value stored in it.' It clearly distinguishes the action from update_column, making the purpose unmistakable.

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

Usage Guidelines5/5

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

The description explicitly names the alternative: 'Use update_column when the column is right but its name, type or options are wrong.' It also gives operational guidance to 'confirm with the user first,' covering both when to use and when to avoid.

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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