List collections
customerio_list_collectionsList reusable data collections in the workspace. App API: GET /v1/collections.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
customerio_list_collectionsList reusable data collections in the workspace. App API: GET /v1/collections.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The readOnlyHint annotation already establishes that this is a safe read operation. The description adds modest context via 'GET /v1/collections' and the workspace scoping, but does not disclose pagination, response format, or other behavioral details.
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 two short sentences with no filler. The core action is front-loaded and the API endpoint is included as valuable context without bloating the text.
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?
For a zero-parameter, read-only list tool, the description is nearly complete: it names the resource, the workspace scope, and the underlying endpoint. The only minor gap is that it does not describe the response structure, and no output schema is provided.
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 zero parameters, so parameter-level documentation is unnecessary. The description's reference to listing all collections in the workspace is sufficient context for an 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 clearly states the action ('List'), the resource ('reusable data collections'), and the scope ('in the workspace'). The explicit App API endpoint 'GET /v1/collections' further disambiguates it from sibling list tools like list_campaigns or list_segments.
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 gives no guidance on when to use this tool versus alternatives. It does not mention any exclusions, prerequisites, or conditions that would help an agent decide between this and the other list tools.
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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