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ryanmac

Agent Twitter Client MCP

by ryanmac

send_tweet_with_poll

Post tweets with interactive polls to gather audience feedback or opinions through Twitter, enabling engagement and data collection from followers.

Instructions

Post a tweet with a poll

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesTweet content (max 280 characters)
replyToTweetIdNoID of tweet to reply to (optional)
pollYesPoll configuration
Behavior2/5

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

With no annotations provided, the description carries full burden but only states the basic action without disclosing behavioral traits. It doesn't mention authentication requirements, rate limits, whether the tweet is public/private, error conditions, or what happens after posting (e.g., returns tweet ID). This is inadequate for a mutation tool.

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 with zero waste. It's appropriately sized and front-loaded with the core functionality, though it could benefit from additional context.

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?

For a mutation tool with no annotations and no output schema, the description is incomplete. It doesn't explain what happens after posting (success response, error handling), authentication needs, or platform-specific constraints (e.g., Twitter/X API limits). The 100% schema coverage helps but doesn't compensate for missing behavioral context.

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%, providing detailed parameter documentation. The description adds no additional parameter semantics beyond implying 'poll' is required, which is already in the schema. Baseline 3 is appropriate since 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 'Post a tweet with a poll' clearly states the action (post) and resource (tweet with poll), distinguishing it from sibling tools like 'send_tweet' (which lacks poll functionality). However, it doesn't specify the platform (e.g., Twitter/X) or fully differentiate from 'quote_tweet' which also posts tweets.

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 'send_tweet' (for tweets without polls) or 'quote_tweet' (for quoting existing tweets). The description lacks any context about prerequisites, constraints, or typical use cases.

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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