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1036007003-wq

Twitter Marketing MCP

generate_tweet

Create tweets for marketing by providing a topic and optional style. AI generates the tweet content.

Instructions

AI-powered tweet generator. PREMIUM feature (GitHub Sponsors).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
styleNoTweet style: default, viral, professional, thread
topicYesTopic or product to tweet about
Behavior2/5

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

No annotations provided. The description only says 'AI-powered' but lacks details on behavioral traits such as rate limits, output format, or whether it posts tweets or just generates text.

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?

Two concise sentences that front-load the purpose and then add a usage constraint. No extraneous words.

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?

Despite having only 2 parameters and no output schema, the description omits critical context like whether the tool posts the tweet or just generates text, and does not mention the return value format.

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% with meaningful descriptions for both parameters. The tool description adds no additional parameter meaning beyond what the schema already provides, earning the baseline score.

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?

The description clearly states 'AI-powered tweet generator' with a specific verb (generate) and resource (tweet). It distinguishes from siblings like analyze_account, schedule_tweet, etc., which have different purposes.

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?

Only mentions 'PREMIUM feature (GitHub Sponsors)' implying a prerequisite, but no explicit when-to-use or when-not-to-use guidance relative to alternatives.

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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