AI Grammar Checker
grammar-checkerAI Grammar Checker: Fix grammar, spelling, and punctuation, and list the corrections. (free, AI-generated, rate-limited).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes |
grammar-checkerAI Grammar Checker: Fix grammar, spelling, and punctuation, and list the corrections. (free, AI-generated, rate-limited).
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds practical context beyond the readOnlyHint annotation, including that it is free, AI-generated, and rate-limited. It also mentions that it lists corrections, giving insight into the output behavior. While it doesn't detail every aspect of the response format, it provides useful transparency for a read-only tool.
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 a single concise sentence with a parenthetical for extra context, making it front-loaded and efficient. However, it begins by repeating the title 'AI Grammar Checker,' which is slightly redundant, though it does not significantly detract from its compactness.
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 simple one-parameter tool, the description covers the core purpose and notes rate limits, but it omits details about return value structure (e.g., whether corrected text is returned alongside corrections) and any constraints on input size. This leaves some gaps in completeness for an agent needing to invoke 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?
With schema description coverage at 0%, the description carries the burden of explaining the 'text' parameter, but it never explicitly references the input parameter or its expected format. The purpose implies text input, but no details about language, length, or content expectations are provided, leaving parameter semantics under-specified.
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 clearly states the tool fixes grammar, spelling, and punctuation and lists corrections, which is a specific verb+resource+output combination. It distinguishes itself from sibling tools like readability-checker and keyword-density-checker by focusing on grammar correction, making its purpose 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?
The description implies use when grammar, spelling, or punctuation correction is needed, but it does not explicitly mention alternatives or when not to use it. It lacks direct comparison to sibling tools, so guidance on usage is only inferred from the stated purpose.
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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