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mguttmann
by mguttmann

Run a data collection

action1_run_data_collection
Destructive

Trigger data collection on an endpoint or group by providing its ID. Optional parameters customize the run; dry run previews changes before execution.

Instructions

Trigger the run_data_collection template on an endpoint.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoFriendly action name.
org_idNoOrg UUID.
paramsNoOptional template params.
confirmNoRequired to execute. Exact string "YES".
dry_runNoDefault true (preview). Set false to execute.
endpoint_idYesEndpoint UUID, or Group ID when target_type='EndpointGroup'.
target_typeNoEndpoint (default) or EndpointGroup for fan-out.
response_formatNoOutput format. Default markdown.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations indicate destructiveHint=true, implying irreversible changes, but the description does not elaborate on consequences, permissions, or that dry_run defaults to true. It adds minimal behavioral context beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, but it lacks front-loaded key details like execution behavior or warnings. It is concise but could be more informative without being verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (8 parameters, nested objects, destructive annotation), the description is inadequate. It omits critical context about the dry_run default, confirmation requirement, and output handling.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the input schema already documents all parameters. The description adds no extra meaning, justifying the baseline score of 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('trigger') and the resource ('run_data_collection template' on an endpoint), making the purpose specific. However, it does not differentiate from sibling 'run_*' tools like run_script.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives such as action1_run_script or action1_execute_and_wait. There is no mention of context or exclusions.

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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