retweet
Share tweets from Twitter by specifying their ID to amplify content reach and engagement through the Agent Twitter Client MCP server.
Instructions
Retweet a tweet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Tweet ID to retweet |
Share tweets from Twitter by specifying their ID to amplify content reach and engagement through the Agent Twitter Client MCP server.
Retweet a tweet
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Tweet ID to retweet |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. While 'retweet' implies a write/mutation operation, the description doesn't specify whether this is reversible, what permissions are needed, if there are rate limits, or what happens on success/failure. This leaves significant gaps for an agent to understand the tool's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, clear sentence with zero wasted words. It's appropriately sized for a simple tool and front-loaded with the essential action, making it highly efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given this is a mutation tool with no annotations and no output schema, the description is incomplete. It doesn't address behavioral aspects like authentication needs, error conditions, or what the tool returns, which are critical for an agent to use it correctly in context with sibling tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, with the 'id' parameter clearly documented. The description doesn't add any additional meaning beyond what the schema provides (e.g., it doesn't explain tweet ID format or constraints), so it meets the baseline score when schema coverage is high.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('retweet') and resource ('a tweet'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'quote_tweet' or 'like_tweet' which are also tweet interaction tools, so it doesn't reach the highest score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives like 'quote_tweet' or 'like_tweet', nor does it mention any prerequisites (e.g., authentication requirements, rate limits, or whether the user can retweet their own tweets). It simply states what the tool does without contextual usage information.
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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