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theluckystrike

BeLikeNative Grammar Server

improve_writing

Analyze text for wordiness, passive voice, and sentence length issues. Get structured suggestions to match academic, business, or other styles. No API calls needed.

Instructions

Analyze text for writing quality using rule-based style checks. Returns structured suggestions covering wordiness, passive voice, sentence length, and style-specific guidelines. No API calls needed. Powered by BeLikeNative.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesThe text to improve (max 6000 chars).
styleNoTarget writing style. One of: academic, business, creative, technical, simple, concise. Default: "business".business
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations are absent, so description must disclose behavior. It mentions 'rule-based style checks' and 'No API calls needed', giving insight into how it operates. However, it does not address potential limitations 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise, consisting of a few short sentences that each add unique value. No redundancy or wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with two parameters and no output schema, the description provides a good overview of what it does and what it returns. However, it lacks details on the exact structure of the suggestions, which would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Both parameters are fully described in the input schema (100% coverage). The description adds no new semantic information about the parameters beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool analyzes text for writing quality using rule-based checks and returns suggestions. It distinguishes from siblings implicitly (adjust_tone, check_grammar, translate) but does not explicitly differentiate.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool vs alternatives. The description does not mention when not to use it or provide context for selection.

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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