Translate Tweet
get_v1_1_TranslateTweetTranslate Tweet Group: Tweet. Billing per call: 1 Credits. Agents can pay per call ($0.01 via x402/MPP, no API key).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | No | ||
| language | No | Language code |
get_v1_1_TranslateTweetTranslate Tweet Group: Tweet. Billing per call: 1 Credits. Agents can pay per call ($0.01 via x402/MPP, no API key).
| Name | Required | Description | Default |
|---|---|---|---|
| id | No | ||
| language | No | Language code |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral disclosure burden. It does reveal an important operational trait: agents can pay per call via x402/MPP with no API key. However, it says nothing about side effects, error behavior, rate limits, or what a successful translation returns, so behavioral transparency remains largely unmet.
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 very short and the billing sentence is clear and relevant. However, the opening phrase 'Translate Tweet Group: Tweet' is filler that largely repeats the title, so not every sentence earns its place.
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?
This is a low-complexity tool, but with no output schema and no annotations, the description should still explain what the call returns and any language-code constraints. It provides billing and authentication context but omits the operational details needed to invoke and interpret the tool 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?
The schema already documents 'language' as a language code and gives an example for 'id', but coverage is only 50% and the description adds no parameter meaning at all. It does not clarify valid language codes, default behavior when both parameters are optional, or how the tweet ID is used.
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 'Translate Tweet Group: Tweet' essentially restates the title 'Translate Tweet' and appends a category label. It names the resource and operation but does not clarify what the translation produces or how it differs from siblings like get_v1_1_TranslateProfile.
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 guidance is given about when to use this tool versus any of the many sibling tools. The only contextual information is billing-related, which does not help an agent decide between TranslateTweet and TranslateProfile or other Twitter 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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