easy_use_humanizer
Humanize AI-generated text to sound more natural and conversational using a specialized model designed for straightforward text transformation.
Instructions
Easy use
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Humanize AI-generated text to sound more natural and conversational using a specialized model designed for straightforward text transformation.
Easy use
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Easy use' gives no insight into what the tool does, whether it's read-only or destructive, its authentication needs, rate limits, or any other behavioral traits, making it completely opaque.
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?
While 'Easy use' is brief, it is under-specified rather than concise. The two words fail to convey meaningful information, making the description inefficient and lacking in structure, as it doesn't front-load essential details.
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?
Given the lack of annotations, no output schema, and a vague description, the description is incomplete. It provides no context on the tool's function, behavior, or output, failing to compensate for the missing structured data, which is inadequate even for a zero-parameter tool.
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 tool has 0 parameters with 100% schema description coverage, so no parameter information is needed. The description does not add or detract from parameter semantics, meeting the baseline of 4 for zero-parameter tools.
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 'Easy use' is a tautology that merely restates the tool name 'easy_use_humanizer' without specifying what the tool actually does. It provides no verb, resource, or distinct purpose, failing to differentiate from sibling tools like 'basic_model' or 'multi_languages'.
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 offers no guidance on when to use this tool versus alternatives, such as 'basic_model' or 'multi_languages'. There is no mention of context, prerequisites, or exclusions, leaving the agent with no usage instructions.
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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