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edit_column

Update a project board column's title or color by providing owner, repo, project ID, and column ID. Keeps Kanban columns organized and accurately labeled.

Instructions

Edit a column's title and/or color.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoYes
colorNo
ownerYes
titleNo
column_idYes
project_idYes

Schema Changelog

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

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It says title and/or color can be edited, but does not explain whether omitted fields are left unchanged, whether null values clear them, any permission requirements, or what the response contains. The mutation is implied but not detailed.

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?

A single, front-loaded sentence states the verb, resource, and editable fields with no wasted words. Given the simplicity of the operation, the length is appropriate.

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

Completeness3/5

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

With six parameters, no output schema, and no annotations, the description is a minimal viable definition. The schema covers required identifiers, and the description identifies the editable fields, but an agent would benefit from explicit notes on optionality, null semantics, and response behavior.

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?

Schema description coverage is 0%, so the description must compensate. It clarifies that title and color are the editable values, which maps to those parameters, but it adds no meaning for the identifier parameters (owner, repo, project_id, column_id) or accepted formats for title/color. The names in the schema are self-explanatory, so this is minimally adequate.

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 states a specific verb ('Edit') and resource ('a column'), and explicitly names the editable attributes ('title and/or color'). This clearly distinguishes it from sibling tools like create_column, delete_column, read_column, and set_default_column.

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. The description does not mention that read_column is for inspection, set_default_column handles default-column changes, or create/delete_column cover lifecycle operations. An agent must infer usage from the tool name and sibling list.

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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