get_powerpacks
Retrieve all Datadog powerpacks to monitor and manage dashboard collections for enhanced observability and operational insights.
Instructions
Get a list of all powerpacks.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve all Datadog powerpacks to monitor and manage dashboard collections for enhanced observability and operational insights.
Get a list of all powerpacks.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. 'Get a list of all powerpacks' implies a read operation but doesn't disclose any behavioral traits: no information about authentication requirements, rate limits, pagination, sorting, what 'all' means (e.g., across all scopes or filtered), or response format. This leaves significant gaps for a tool that likely returns multiple items.
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, efficient sentence that gets straight to the point: 'Get a list of all powerpacks.' There's no wasted words or unnecessary elaboration. It's front-loaded with the core action and resource.
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 no annotations, no output schema, and a simple parameterless design, the description is minimal but inadequate. It doesn't explain what a 'powerpack' is, what fields the list includes, whether it's paginated, or any authentication context. For a list operation that might return many items, more behavioral context is needed despite the simplicity.
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?
The tool has 0 parameters, and schema description coverage is 100% (empty schema). The description doesn't need to explain any parameters, and it correctly implies no filtering or options are available ('all powerpacks'). This is appropriate for a parameterless list operation.
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 'Get a list of all powerpacks' clearly states the verb ('Get') and resource ('powerpacks'), making the purpose immediately understandable. It doesn't distinguish from sibling tools like 'get_powerpack' (singular) or 'create_powerpacks', but the basic action is unambiguous.
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 provides no guidance on when to use this tool versus alternatives. There's no mention of when to use 'get_powerpacks' (list all) versus 'get_powerpack' (get specific one) or other related tools like 'create_powerpacks' or 'update_powerpack'. The agent must infer usage from naming patterns alone.
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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