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kanbanzone

Kanban Zone MCP Server

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by kanbanzone

Get organization context

kanbanzone_get_organization
Read-onlyIdempotent

Retrieve your Kanban Zone organization profile including members, boards, columns, labels, and custom fields. Ideal for understanding your workspace structure.

Instructions

Fetch the organization profile, with optional related data: members, boards, columns, labels, and custom fields. Useful for orienting an agent at session start ("what does this workspace look like?").

Args (all optional):

  • include_members (boolean): include licensed and unlicensed member lists.

  • include_boards (boolean): include board summaries.

  • include_columns (boolean): include columns under each board (implies include_boards).

  • include_labels (boolean): include labels under each board (implies include_boards).

  • include_custom_fields (boolean): include workspace-level custom fields.

  • response_format ("markdown" | "json"): output format. Defaults to markdown.

Examples:

  • "List every board with its columns"

  • "Who are the members of this Kanban Zone workspace?"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
include_membersNo
include_boardsNo
include_columnsNo
include_labelsNo
include_custom_fieldsNo
response_formatNoOutput format. 'markdown' (default) is human-readable; 'json' is the raw structured payload.markdown
Behavior4/5

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

Annotations already indicate readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds behavioral details such as parameter implications (e.g., include_columns implies include_boards) and the effect of response_format, which are valuable beyond the annotations.

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 well-structured: purpose, usage guideline, detailed parameter list, and examples—all in a concise format. Every sentence adds value without redundancy.

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?

Although there is no output schema, the description explains the response_format options and gives examples. It could be more explicit about the output structure, but it provides sufficient context for an agent to use the tool effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With only 17% schema coverage, the description compensates exceptionally well by explicitly detailing each parameter's effect (e.g., 'include_members: include licensed and unlicensed member lists') and noting defaults and implications. This adds significant meaning beyond the bare schema.

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 'Fetch the organization profile' with optional related data, specifying the verb (fetch), resource (organization profile), and scope. It effectively distinguishes from sibling tools like get_board or get_card by targeting the organization context.

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 a specific use case: 'useful for orienting an agent at session start.' While it does not explicitly state when not to use it, the context implies it is for broad overviews, leaving specifics to sibling tools.

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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