get userTweetReply
get_base_apitools_userTweetReplyget user Tweet Reply Group: userTweets. Billing per call: 1 Credits.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| cursor | No | ||
| userId | No | ||
| proxyUrl | No | ||
| resFormat | No |
get_base_apitools_userTweetReplyget user Tweet Reply Group: userTweets. Billing per call: 1 Credits.
| Name | Required | Description | Default |
|---|---|---|---|
| cursor | No | ||
| userId | No | ||
| proxyUrl | No | ||
| resFormat | 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 of behavior disclosure. It only mentions billing ("Billing per call: 1 Credits") but does not describe returns, pagination behavior, authentication needs, or side effects.
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 short but under-specified rather than usefully concise. It lacks enough detail to guide invocation, so brevity comes at the expense of clarity.
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 four undocumented parameters, no annotations, and no output schema, the description is far too minimal to be complete. The only contextual nugget is the billing cost, which does not compensate for the missing operational and parameter context.
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 does not explain any of the four parameters: cursor, userId, proxyUrl, or resFormat. The description provides no compensating meaning, leaving the agent with barely more than parameter names.
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 says "get user Tweet Reply Group: userTweets," which essentially restates the tool name and is too vague to explain what the tool actually does. It does not differentiate this from similar siblings like get_base_apitools_tweetReply or get_base_apitools_userTweetsV2.
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?
No context is given for when to use this tool versus alternatives. The description provides no when-to-use guidance, no exclusions, and no reference to sibling tools.
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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