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add_task_labels

Ensure tasks are labeled correctly by attaching specified labels, creating missing ones as needed.

Instructions

Attach labels to a task, creating any that do not exist yet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelsYesLabel titles to attach; missing labels are created.
task_idYesNumeric task id.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
doneNo
indexNo
titleYes
labelsNo
createdNo
done_atNo
updatedNo
due_dateNo
end_dateNo
priorityNo
assigneesNo
bucket_idNo
hex_colorNo
created_byNo
identifierNo
project_idNo
start_dateNo
descriptionNo
is_favoriteNo
repeat_modeNo
percent_doneNo
repeat_afterNo
cover_image_attachment_idNo
Install Server

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It does disclose a significant side effect—missing labels are created—but it does not mention whether labels are added to existing ones, whether the operation is idempotent, or what happens on invalid task IDs. Partial but not comprehensive.

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, tightly worded sentence with no filler. It front-loads the primary action and immediately follows with the most important behavioral nuance. Every word earns its place.

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?

For a simple two-parameter tool with an output schema, the description covers the core purpose and side effects. It does not address edge cases like duplicate labels or whether the task must already exist, but these are secondary for such a straightforward operation. The presence of an output schema further reduces the need to document return values.

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%, so the schema fully documents both parameters. The description adds a small amount of semantic value by explaining that labels will be created if absent, which enriches the 'labels' parameter meaning. This is adequate given high schema coverage.

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 and resource ('Attach labels to a task') and adds the key behavioral distinction ('creating any that do not exist yet'). It is clearly distinct from sibling tools like list_tasks or create_task, so an agent can immediately understand what this tool does.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied: use this tool when you want labels attached to a task. However, there is no explicit guidance about when to use this instead of an alternative, nor any mention of prerequisites or exclusions. The context is clear but not elaborated.

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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