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dalexsys

verbashield-mcp

verbashield_humanize

Rewrite AI-generated text to appear human-written. Choose academic, business, or casual mode and preserve formatting for authentic, undetectable content.

Instructions

Humanize AI-generated text via VerbaShield

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNo
textYes
preserve_formattingNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It does not explain whether text is rewritten and returned, how formatting preservation works, whether any rate limits or auth constraints apply, or what side effects exist. Only the basic operation is stated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The description is compact and has no wasted words, but it is under-specified for a tool with three parameters and no output schema. It is concise rather than wisely structured, lacking essential semantic layers.

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

Completeness2/5

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

Given the lack of annotations, zero schema description coverage, and no output schema, the description is severely incomplete. It does not explain mode behavior, formatting preservation, return value shape, or operational constraints, so an agent cannot confidently invoke it with correct parameters.

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

Parameters1/5

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

Schema description coverage is 0%, and the description provides no explanation of the three parameters. It does not clarify what 'mode' values mean, what 'text' expects, or what 'preserve_formatting' controls, leaving agents with only raw type/enum information.

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 states a specific action ('humanize') applied to a clear resource ('AI-generated text'). This distinguishes it from siblings like verbashield_detect and verbashield_get_quota, though not explicitly; the verb itself makes the core purpose clear.

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 is given on when to choose this tool over alternatives, and there are no exclusions or prerequisite conditions. The name and description only imply a use case; nothing tells the agent how this relates to verbashield_detect or when not to use it.

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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