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strobekiss

x-mcp-lite

by strobekiss

search_user

Find Twitter users by entering a search query. Returns matching user profiles for analysis or discovery.

Instructions

Searches for users based on the provided query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
queryYes
cursorNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states 'Searches for users' but does not reveal whether authentication is needed, if mutation occurs, or any side effects. The behavior beyond the name is opaque.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely brief (one sentence) but front-loaded with the core action. However, it lacks essential details, making it under-specified rather than appropriately concise.

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, a simple schema with three parameters, and sibling tools that overlap, the description is insufficient. It omits search behavior, pagination (cursor, count), and return format. An output schema exists but its contents are not addressed.

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%, and the description only mentions 'query'. It does not explain the meaning of 'count' or 'cursor', nor how they affect the search. The description adds no value beyond parameter names.

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 it searches for users based on a query. The verb 'searches' and resource 'users' are specific, and it distinguishes from sibling tools like search_twitter (tweets) and get_user (specific user lookup). However, it lacks details on search scope or matching criteria.

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?

No guidance is provided on when to use this tool versus alternatives like get_user_by_screen_name or get_user_by_id. The description does not indicate prerequisites or scenarios where this tool is preferred.

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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