list_all_labels_of_a_conversation
Retrieve all labels assigned to a specific conversation for easy organization and filtering.
Instructions
List Labels
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve all labels assigned to a specific conversation for easy organization and filtering.
List Labels
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose any behavioral traits such as read-only nature, authentication requirements, or side effects. The burden falls entirely on the description, which fails to deliver.
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?
At two words, the description is severely under-specified. It omits critical information and cannot be considered concise; it is merely terse.
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?
With no output schema and no annotations, the description is completely inadequate. It does not explain what is returned, how the conversation is specified, or any other essential details for a tool with over 100 siblings.
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?
There are zero parameters, so schema coverage is 100% by default. However, the description does not add meaningful context about how the conversation is implicitly identified, leaving ambiguity for the agent.
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?
The description 'List Labels' is a tautology of the tool's last two words, adding no context. It does not specify that the labels belong to a conversation, nor does it differentiate from the sibling 'list_all_labels' which likely lists all labels globally.
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 guidance is provided on when to use this tool versus alternatives. Given sibling tools like 'list_all_labels' and 'contact_add_labels', the agent has no basis to decide which tool to use.
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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