remove_members_from_segment

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

Given no annotations, the description covers key behaviors: authentication, max concurrent requests, read-only/dry-run modes, and error conditions (404). However, it does not mention whether the operation is reversible or its impact on member history, which would strengthen transparency further.

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 concise and well-organized, starting with the core purpose, then constraints, then behavioral details, and finally parameter documentation. Every sentence adds value without redundancy.

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?

Given the tool's complexity (3 parameters, no enums, output schema exists), the description covers all essential aspects: input semantics, constraints, error handling, and behavioral traits. It is complete for an AI agent to select and invoke 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?

With 0% schema description coverage, the description fully compensates by explaining each parameter: format of list_id and segment_id, how to obtain them, and the comma-separated format for emails. This provides the AI agent with necessary validation context.

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 verb 'Remove' and the resource 'members from a static segment or tag'. It differentiates from sibling tools like 'tag_member' and 'add_members_to_segment' by specifying the scope and operation.

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?

Explicitly states it only works on static segments, not dynamic ones, and provides an alternative tool ('tag_member with tags_to_remove') for single-member removal. Also notes that non-existent members are silently skipped.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.