x402-ai-grammar
AI Grammar: Check and fix grammar with AI.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | Text to process | |
| content | No | Content to process |
AI Grammar: Check and fix grammar with AI.
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | Text to process | |
| content | No | Content to process |
Changes observed during successful MCP inspections.
Input schema / properties / textAdded value: +{
+ "description": "Text to process",
+ "type": "string"
+}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. It says 'check and fix' but not whether the original text is returned with corrections, whether an error list is returned, or that this is a paid x402 endpoint. For a mutation-flavored text tool with zero annotation coverage, this is a significant gap.
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, front-loaded sentence with no filler. Efficient, though extremely terse given the tool's ambiguity.
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 no output schema and no annotations, the description should describe the return shape and clarify the two overlapping input parameters, but it does neither. An agent cannot tell what it gets back or which param to send.
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 100%, so the baseline is 3 even though the description says nothing about parameters. Notably, the description does not resolve the ambiguity between the two near-identical optional parameters ('text' vs 'content') or indicate which to prefer, which is a real gap the schema also fails to address.
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 clear verb pair (check and fix) plus the resource (grammar), so the agent knows it corrects grammar rather than doing generic rewriting. It does not reference any sibling tool to disambiguate from the many other x402-ai-* text tools, but the purpose itself is unambiguous.
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?
There is no guidance on when to pick this over siblings like x402-ai-rewrite, x402-ai-language, or x402-text-clean, and no prerequisites are stated. The agent must infer usage entirely from the name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.