remove_task_label
Remove a label from a task by providing taskId and labelId, updating the task's assigned labels.
Instructions
Remove a label from a task.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| taskId | Yes | ||
| labelId | Yes |
Remove a label from a task by providing taskId and labelId, updating the task's assigned labels.
Remove a label from a task.
| Name | Required | Description | Default |
|---|---|---|---|
| taskId | Yes | ||
| labelId | Yes |
Changes observed during successful MCP inspections.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. It does not say whether the call is idempotent, what happens if the label is not on the task, whether permissions are required, or whether it is reversible. For a mutation tool this is a significant gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single short, front-loaded sentence with no waste. It is efficient, though the brevity reflects under-specification rather than disciplined concision.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
A mutation tool with no annotations, no output schema, and zero-documented parameters needs more than one sentence. Nothing about side effects, failure modes, or expected response is conveyed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% for two required parameters, so the schema offers no meaning at all. The description only implicitly names 'task' and 'label' via the sentence, adding little beyond the parameter names themselves and providing no format, ID-source, or constraint details.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb ('Remove') and resource ('a label from a task'), so the operation is unambiguous. It is distinguishable from its siblings (add_task_label, create_label, delete_task) by the verb/resource pairing, though it never names them explicitly.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no when-to-use guidance, no mention of the complementary add_task_label tool, and no prerequisites or error conditions. The agent must infer usage entirely from the name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.