Unlink Case Labels
unlinkCaseLabelsRemove the given labels from a case.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| case_id | Yes | The case's unique identifier | |
| queue_id | Yes | The queue's unique identifier | |
| label_ids | Yes |
unlinkCaseLabelsRemove the given labels from a case.
| Name | Required | Description | Default |
|---|---|---|---|
| case_id | Yes | The case's unique identifier | |
| queue_id | Yes | The queue's unique identifier | |
| label_ids | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=false, destructiveHint=true, and idempotentHint=false, so the safety profile is covered. The description adds no further behavioral context such as whether label removal is reversible, what permissions are required, or how duplicate/absent labels are handled.
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 front-loaded sentence with no wasted words. It is appropriately sized for the small parameter surface.
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?
The tool is simple (3 required params, no output schema) and annotations cover the safety profile, so the description is minimally complete. However, it omits any mention of queue_id, a required parameter, and provides no contextual nuance for when the operation should be used.
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 67%: case_id and queue_id are documented in the schema, while label_ids lacks a description. The description clarifies that 'given labels' are removed from 'a case', which slightly maps to case_id and label_ids, but it never mentions queue_id, leaving the parameter meaning mostly to the schema.
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 ('labels') with the target ('a case'), so an agent understands the operation immediately. It does not explicitly name or contrast with siblings like assignCaseLabels, but the verb itself differentiates from the add operation.
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?
No when-to-use, when-not-to-use, prerequisites, or alternative tools are mentioned. The description only restates the action without helping an agent choose between this and related label tools.
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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