hivelearn_list_segments
List saved member segments with their filter rules.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Page size, default 20 | |
| offset | No | Rows to skip, default 0 |
List saved member segments with their filter rules.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Page size, default 20 | |
| offset | No | Rows to skip, default 0 |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries the full burden. It does convey that this is a read-only listing operation returning segments with their filter rules, but it does not mention response shape, ordering, or pagination behavior beyond the parameter schema.
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?
A single, front-loaded sentence with no filler. 'Saved' and 'with their filter rules' both add meaningful scope and return-content information.
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 simple two-parameter list tool, the description plus schema covers the essentials: what is returned and how to paginate. There is no output schema, so the description could be more explicit about the response shape, but the current wording is sufficient for an agent to invoke the tool correctly.
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 schema already provides 100% coverage for both parameters, including descriptions and defaults for limit and offset. The description adds no parameter-level detail, but none is needed for these self-explanatory pagination parameters.
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 uses a specific verb ('List') and names the exact resource: saved member segments, with the added detail that filter rules are included. This clearly distinguishes it from hivelearn_list_segment_members, which would list members in a segment rather than the segments themselves.
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?
No explicit when-to-use or alternative guidance is given. The phrase 'saved member segments' implies this tool is for retrieving segment definitions rather than their member lists, but the boundary against siblings like list_segment_members is left to inference.
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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