retweet
X / Twitter: retweet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| tweet_id | No | ||
| tweet_url | No |
X / Twitter: retweet
| Name | Required | Description | Default |
|---|---|---|---|
| tweet_id | No | ||
| tweet_url | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden and discloses nothing: not whether retweeting an already-retweeted tweet errors or is a no-op, not whether the action is reversible (unretweet), and not whether auth is required.
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?
Brevity here is under-specification rather than economy; the single fragment earns its place only as a platform label and leaves the tool effectively undocumented.
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?
With zero annotations, no output schema, and two undocumented parameters, the definition supplies none of the information an agent needs to invoke this mutation correctly.
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?
Schema description coverage is 0% and the description adds no parameter meaning at all. It never clarifies whether tweet_id and tweet_url are alternatives, whether either is required (required list is empty), or what format tweet_url takes.
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?
"X / Twitter: retweet" restates the tool name with a platform prefix and adds no scope or distinguishing detail. An agent cannot tell from this how it differs from siblings like like_tweet or post_tweet beyond the obvious verb.
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 contains no guidance on when to use this tool, when not to, or which sibling to prefer. Nothing indicates prerequisites such as authentication or an existing tweet.
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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