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remove_list_member

Remove a user from a Twitter list to manage list membership and curate content effectively.

Instructions

Remove a user from a list

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
list_idYes
user_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden. It states a destructive action ('Remove'), implying mutation, but lacks details on permissions required, whether removal is reversible, side effects (e.g., notifications), or error conditions. This is inadequate for a mutation tool with zero annotation coverage.

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, efficient sentence with zero wasted words. It's front-loaded with the core action and target, making it easy to parse quickly. No structural issues or redundancy are present.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has an output schema (which handles return values), the description's main gaps are in behavioral transparency and parameter semantics. For a simple 2-parameter mutation tool, the description is minimally adequate but lacks crucial context like permissions or error handling, making it incomplete for safe agent use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It mentions 'list_id' and 'user_id' implicitly via 'list' and 'user', but doesn't explain parameter formats (e.g., numeric IDs, strings), validation rules, or examples. The description adds minimal semantic value beyond what's inferable from the schema.

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

Purpose4/5

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

The description clearly states the action ('Remove') and target ('a user from a list'), which is specific and unambiguous. It distinguishes from obvious siblings like 'add_list_member' by specifying removal, though it doesn't explicitly differentiate from other list-related tools like 'delete_list' or 'get_list_members'.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., user must already be a list member), exclusions, or compare it to siblings like 'block_user' or 'unfollow_user' for user management. Usage is implied but not explicitly defined.

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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