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get_board

Retrieve a complete kanban board, including columns, cards, context, and agents, by board ID for AI coding workflows.

Instructions

Get a full board with columns, cards, context, and agents

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
boardIdYesThe board identifier

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description carries the full disclosure burden. 'Get' implies a read operation and it usefully states the returned composition, but it says nothing about permissions, behavior for a nonexistent or unauthorized boardId, or whether the fetch is expensive/rate-limited.

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 with no filler; the resource and its payload are stated immediately.

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?

There is no output schema, so the description is responsible for explaining return values. It lists the top-level contents but leaves 'context' and 'agents' undefined and says nothing about nesting, size, or error cases, so it is only partially complete for a no-output-schema tool.

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 100% for the single boardId parameter, so the schema already documents the input. The description adds no format, source, or lookup detail beyond what the schema provides, which is the expected baseline of 3.

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 gives a specific verb ('Get') and resource ('a full board'), and enumerates the returned contents (columns, cards, context, agents), which distinguishes it from list_boards. However, it never names list_boards as the shallow alternative, so sibling differentiation is left implicit.

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?

There is no explicit guidance on when to use this tool versus list_boards or the card-level siblings. The word 'full' hints that this is the detailed retrieval path, but the agent must infer that on its own.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.