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Get User Info

get_twitter_user_info
Read-onlyIdempotent

Look up one X (Twitter) user's public profile by @handle (screen name). Use this when you need to know who an account is — identity, reach, or credibility — before deciding whether to trust or analyze their content. Returns display name, bio, follower/following counts, verification status, account creation date, location, and profile images. If you only have a numeric user ID, use get_twitter_user_batch_info_by_ids instead. If you need extended profile metadata such as country or username-change history, use get_twitter_user_about. If you want their posts rather than their profile, use get_twitter_user_tweet_timeline.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userNameYesThe screen name of the user

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, destructiveHint=false, covering safety. The description adds value by listing the specific returned fields (display name, bio, counts, verification, dates, etc.), which is useful context not in annotations.

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 well-structured: it leads with the core purpose, gives usage context, lists returns, and then routes alternatives. Every sentence earns its place with no filler; the length is justified by the need to differentiate among siblings.

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

Completeness5/5

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

For a single-parameter read-only lookup with an output schema present, the description fully covers the call context, return fields, and alternatives. Nothing an agent needs to correctly invoke it is missing.

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 coverage is 100% (the only parameter 'userName' is described as 'The screen name of the user'). The description reinforces this with '@handle (screen name)' but adds no substantive new meaning beyond the schema, so baseline 3 applies.

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

Purpose5/5

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

States a specific verb ('Look up') and resource ('one X (Twitter) user's public profile by @handle'). It explicitly differentiates from three sibling tools by naming them and the conditions that select each, making its scope unambiguous.

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

Usage Guidelines5/5

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

Provides explicit when-to-use ('when you need to know who an account is — identity, reach, or credibility') and when-not-to-use conditions with named alternatives for numeric IDs, extended metadata, and posts. This fully routes the agent.

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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