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SarthakRay26

MCP Twitter/X Server

by SarthakRay26

search_posts

Search tweets by query, returning a set number of results ordered by recent or popular. Specify query, count, and result type for targeted discovery.

Instructions

Search for tweets matching a query

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of tweets to fetch (default: 10, max: 100)
queryYesThe search query
resultTypeNoType of results to return (default: recent)recent
Behavior2/5

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

With no annotations, the description carries full responsibility for behavioral disclosure, but it only gives a terse statement. It omits details about result ordering, pagination, rate limits, or what the query matches against, making the tool's runtime behavior largely 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 a single concise sentence, which is appropriately short for a simple operation. However, it lacks any structural breakdown or additional context that could make it more useful, so it is adequate but not exemplary.

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?

The description is incomplete for a tool with three parameters and no output schema. It does not explain the return format, how resultType affects behavior, or any limitations, leaving the agent with significant uncertainty about the tool's operation.

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 parameters are fully described in the schema. The description does not add any extra parameter-specific context, but it doesn't need to since the schema is complete.

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 a search operation with a query, which distinguishes it from sibling tools like read_posts, create_post, and get_post. However, it does not explicitly name an alternative or clarify how it differs from read_posts, so it doesn't reach the top score.

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 such as read_posts or get_post. The absence of any contextual hints or exclusions leaves the agent without direction on tool selection.

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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