List segments
customerio_list_segmentsList all segments in the workspace (id + name + type). App API: GET /v1/segments.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
customerio_list_segmentsList all segments in the workspace (id + name + type). App API: GET /v1/segments.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Input schema / $schemaPrevious value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
readOnlyHint=true already tells the agent this is a safe, non-mutating read, so the safety burden is covered by annotations. The description adds useful disclosure of the response shape (id + name + type) and the underlying endpoint, but says nothing about pagination, ordering, or result size limits.
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?
Two compact clauses: the purpose first, then returned fields and endpoint. No filler, no redundancy, everything front-loaded.
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?
With no output schema, the description usefully discloses the returned fields, which is the main thing an agent needs for a zero-parameter list tool. It stops short of covering pagination or result-volume behavior, but the essentials are present.
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 takes zero parameters, so there is no parameter semantics to explain and the baseline of 4 applies. Nothing in the description conflicts with the empty schema.
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?
States a specific verb (List) and resource (segments), scoped to the workspace, and enumerates the returned fields (id + name + type). It distinguishes itself implicitly from the narrower customerio_get_customer_segments by saying 'all segments in the workspace', but it never names that sibling explicitly.
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 phrase 'all segments in the workspace' implies this is the workspace-wide enumeration rather than a per-customer lookup, which is the natural contrast with customerio_get_customer_segments. However, no when-to-use condition, prerequisite, or alternative is stated outright.
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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