x402-ai-rewrite
AI Rewrite: Rewrite in any tone: professional, casual, concise.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | ||
| tone | No |
AI Rewrite: Rewrite in any tone: professional, casual, concise.
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | ||
| tone | No |
Changes observed during successful MCP inspections.
Input schema / properties / text / descriptionRemoved value: -"Text to process"Input schema / properties / tone / descriptionRemoved value: -"Tone to process"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing: not whether meaning/length is preserved, whether input is echoed or replaced, what happens with an omitted tone, whether there are length limits, or whether the call is billable/rate-limited. The only behavioral hint is that tone is user-selectable.
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?
A single short sentence with the key action front-loaded and no filler. It loses a point only because the leading "AI Rewrite:" restates the tool name without adding information.
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?
For a two-parameter AI tool with no annotations, no output schema, and 0% schema coverage, the description should specify input expectations and return behavior. It leaves the output format, tone default, and input constraints entirely unstated, so an agent cannot confidently predict the result of a call.
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 neither parameter is documented in the schema, so the description must compensate. It partially does by naming concrete tone values (professional, casual, concise), which is genuinely useful since the schema declares no enum, but `text` is never described and it is unclear whether the tone list is exhaustive or illustrative.
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?
States a specific verb and resource ("Rewrite") and enumerates the tone dimension, so an agent can tell it apart from unrelated utilities like x402-uppercase-count. However, it draws no boundary against near-neighbors in the sibling list such as x402-ai-grammar, x402-ai-summarize, or x402-ai-translate, leaving the agent to guess which text-transform tool applies.
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 never says when to reach for this versus other AI text tools, nor any exclusion (e.g. "not for translation, use x402-ai-translate"). The tone list implies the tool's domain but provides no routing guidance, which matters given dozens of overlapping AI text siblings.
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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