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get_following

Retrieve the list of accounts a specific user follows on X (Twitter) by providing their numeric user ID, with options for pagination and result limits.

Instructions

List who a user follows by their numeric user ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_idYesThe numeric user ID
max_resultsNoNumber of results (1-1000, default 100)
next_tokenNoPagination token from previous response
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 mentions listing by user ID but doesn't disclose behavioral traits like pagination handling (implied by next_token), rate limits, authentication needs, error conditions, or return format. For a read operation with pagination, this is a significant gap in transparency.

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 that front-loads the core purpose without unnecessary words. It's appropriately sized for a straightforward tool, with zero waste or redundancy.

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

Completeness2/5

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

Given no annotations, no output schema, and a read operation with pagination (implied by next_token), the description is incomplete. It doesn't explain what the output contains (e.g., list of users, pagination tokens), error handling, or constraints like rate limits. For a tool in a social media context with siblings, more context is needed.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema fully documents parameters (user_id, max_results, next_token). The description adds minimal value beyond the schema by specifying 'numeric user ID' for user_id, but doesn't explain parameter interactions or usage nuances. Baseline 3 is appropriate as the schema does the heavy lifting.

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 ('List') and resource ('who a user follows'), specifying it's by user ID. It distinguishes from siblings like get_followers (who follows the user) and get_user (user details), though not explicitly. However, it lacks explicit sibling differentiation, keeping it at 4 rather than 5.

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 like get_followers or get_user. It states the basic function but doesn't mention context, prerequisites, or exclusions, leaving the agent to infer usage from tool names alone.

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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