Skip to main content
Glama

ScriptGrain

Check text for AI tells

ai_detect
Read-onlyIdempotent

Stylometric human-vs-AI analysis of any text (50+ words): returns human_score (0-1, higher = more human), the specific stylistic signals detected in each direction, and a short summary. Free. Correlates with detectors like GPTZero and Originality.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesThe text to analyse (50+ words).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare a safe read-only, idempotent, closed-world operation, so safety is covered. The description adds that it is free and correlates with GPTZero/Originality, which is genuine extra context not carried by annotations.

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?

One dense sentence, front-loaded with the method and output, no filler.

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 single-input tool with an inline description of return fields, the definition is nearly complete. Only minor gaps remain, such as what happens with inputs under 50 words.

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 coverage is 100% and the only parameter already documents the 50+ word requirement. The description repeats the word-count constraint but adds no format or syntax detail beyond the schema.

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+resource (stylometric analysis of text) and the exact output artifact (human_score plus detected signals). Distinct from siblings like check_novelty or check_voice_match, which measure different properties of text.

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?

The 50+ word minimum is stated as a usage condition, which is useful. But no explicit guidance on when to prefer this over siblings like check_novelty or check_voice_match, and no when-not-to-use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources