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arm_list_deployments

List ARM deployments with filters for status, date range, label, destination org, and limit. Retrieve deployment records from the ARM API.

Instructions

GET /rabit/api/deployments/v1/list. Lists deployments with optional status, date range, label, destination org, and limit filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoOptional maximum number of deployments to return. Maximum 100.
statusNoOptional deployment status filter
toDateNoOptional end date filter in YYYY-MM-DD format
headersNoOptional extra headers
fromDateNoOptional start date filter in YYYY-MM-DD format
destSfOrgNoOptional destination Salesforce org filter
labelNameNoOptional deployment label name filter
Behavior2/5

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

No annotations are provided, so the description bears the full burden of behavioral disclosure. It reveals that this is a GET request (read-only) and lists deployments, but it does not describe response structure, pagination, ordering, or any side effects. This is a significant gap for a tool with no output schema.

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

Conciseness5/5

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

The description is a single, focused sentence that front-loads the HTTP method and endpoint, then succinctly lists capabilities. There is no redundancy or extraneous content.

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?

With no output schema and no annotations, the description is too sparse. It fails to explain what the returned list looks like, whether results are paginated, what fields are present, or any usage caveats. For a tool with 7 optional parameters, this is insufficient for an agent to fully understand the tool's behavior.

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 parameter descriptions already provide full semantics. The tool description adds no new information beyond summarizing the filter types, which does not go beyond what the schema already states.

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

Purpose5/5

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

The description explicitly states 'Lists deployments' with specific filter types (status, date range, label, destination org, limit). This clearly identifies the tool's function and distinguishes it from sibling tools like arm_get_deployment, which would fetch a single deployment.

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

Usage Guidelines4/5

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

The description implies when to use this tool (when you need to list deployments using optional filters) and mentions the available filters. However, it does not explicitly contrast with alternatives or state what not to use it for, so it stops short of a 5.

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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