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Get board labels

get_labels
Read-only

List a board's labels to map human-readable names to label IDs for card creation or label addition.

Instructions

List the labels defined on a board, with id, name and colour. Use this before create_card or add_label to turn a human label name into the label id those tools require. board_id comes from list_boards.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
board_idYesBoard id, as returned by list_boards.
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds useful behavioral details such as output fields (id, name, colour) and the dependency on list_boards, which goes beyond the annotations. It doesn't mention pagination, but for a simple read-only list tool this is adequate.

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 three sentences, each providing distinct value: purpose, usage guidance, and parameter source. No superfluous words, and it is front-loaded with the main action.

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

Completeness5/5

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

With one parameter, no output schema, and clear annotations, the description fully covers the tool's role in the broader workflow. It tells the user what the tool returns, when to use it, and where the input comes from, making it complete for the given complexity.

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

Parameters4/5

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

Schema coverage is 100% for the single parameter board_id. The description adds extra meaning by explaining that board_id comes from list_boards, reinforcing the data flow. This exceeds the baseline for fully covered 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 explicitly states the tool lists labels on a board with id, name, and colour. It distinguishes itself from siblings by explaining its role in preparing label IDs for create_card and add_label.

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 gives explicit guidance: use this tool before create_card or add_label to convert a human label name into a label id. It also notes that board_id comes from list_boards, providing a clear workflow context.

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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