tracecat_list_case_tasks
Retrieve all tasks linked to a case ID for review and management.
Instructions
List all tasks attached to a case
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| case_id | Yes | Case ID |
Retrieve all tasks linked to a case ID for review and management.
List all tasks attached to a case
| Name | Required | Description | Default |
|---|---|---|---|
| case_id | Yes | Case ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It implies a read operation but omits details about authorization, rate limits, pagination, or behavior when the case_id is invalid. Minimal disclosure beyond the obvious.
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?
The description is a single, concise sentence with no wasted words. It is appropriately front-loaded and easy to parse, though slightly more detail could be added without harming conciseness.
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?
Given the tool's simplicity (one required parameter, no output schema), the description covers the core functionality. However, it does not specify the return format or any ordering/filtering, leaving some gaps for an AI agent.
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 coverage is 100% with one parameter. The description adds no extra meaning beyond the schema's description of 'Case ID'. Baseline 3 is appropriate as schema does the heavy lifting.
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 clearly states the action (list), the resource (tasks), and the context (attached to a case). It effectively differentiates from sibling tools like 'tracecat_list_cases' and 'tracecat_create_case_task'.
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 explicit guidance on when to use this tool versus alternatives, such as when to use 'tracecat_list_cases' instead. The purpose is implied but lacks context for exclusive 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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