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Humanize text

humanize_text

Humanize AI Text. Rewrite a passage so it reads as natural prose, without changing the facts. Up to 12 paragraphs and 20000 characters per call. Requires an API key. Needs a free StartupHub.ai account.

Input Schema

NameRequiredDescriptionDefault
textYesThe passage to rewrite.
optionsNoOptional rewrite toggles.
strengthNoHow hard to rewrite. Default balanced.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Adds real behavioral context beyond the annotations: per-call limits (12 paragraphs, 20000 characters), auth requirements, and the guarantee that facts are preserved. Annotations cover safety hints but say nothing about quotas or account prerequisites, so this is a genuine addition.

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

Conciseness4/5

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

Four short sentences, well front-loaded with the purpose first and constraints after. Slightly clipped/telegraphic style but every sentence carries information.

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?

Covers purpose, limits, and prerequisites for a low-complexity single-transform tool with a fully documented schema. The main minor gap is that no output schema exists and the return shape (rewritten text) is not described.

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?

Schema description coverage is 100%, so 'text', 'options', and 'strength' are already documented in the schema with enums. The description adds no syntax or format detail for these parameters, so baseline 3 applies.

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

Purpose5/5

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

States a specific verb and resource ('Rewrite a passage so it reads as natural prose') with a clarifying constraint ('without changing the facts'). No sibling tool does text rewriting, so it is easily distinguished.

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

Usage Guidelines3/5

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

Gives operational context — requires an API key and a free StartupHub.ai account — plus size limits, but never says when to choose this versus any alternative or when it is inappropriate. Usage is implied rather than stated.

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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