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remove_label_from_card

Remove a label from a Trello card using its card ID and label ID.

Instructions

Remove a label from a card.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
card_idYes
label_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description must disclose behavioral traits but only states the naked action. It does not mention side effects, permission requirements, idempotency, whether the label must already be attached, or error behavior. This is insufficient for a mutation tool.

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 a single concise sentence, front-loaded with the primary action and object. Every word earns its place, with no redundancy or filler.

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?

The tool is simple, but the description is minimal. While an output schema exists (so return values are covered), the description omits usage guidance and behavioral details. It is minimally viable but has clear gaps in context, especially compared to the rich sibling tool set.

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 coverage is 0%, so the description must compensate. It does map card_id to 'card' and label_id to 'label', adding some meaning beyond the raw parameter names. However, it lacks details on ID formats, validity conditions, or relationships between the two parameters, so compensation is partial.

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 'Remove a label from a card' uses a specific verb ('remove') and clearly identifies the resources (label, card). It directly distinguishes from siblings like 'add_label_to_card' and 'delete_label', leaving no ambiguity about the tool's function.

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?

The description provides no guidance on when to use this tool versus alternatives, nor does it mention prerequisites, idempotency, or error scenarios. A mention of the inverse operation (add_label_to_card) or its relationship to delete_label would clarify usage, but none is provided.

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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