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slop_detect

Detect AI-clichés, hedges, filler, and vocabulary in text. Get a slop score from 0 to 1 with exact spans to self-check or rank drafts.

Instructions

Detect AI-slop (clichés, hedges, filler, AI-vocab) in text.

Returns slop_score 0-1 + exact slop spans. Deterministic, local, no LLM. Use before returning generated prose to self-check, or to gate/rank drafts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
Behavior4/5

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

No annotations provided, so description carries full burden. Discloses key traits: deterministic, local, no LLM. Does not mention performance or constraints, but these are reasonable omissions given simplicity.

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?

Three sentences front-loaded with purpose, then returns, then use cases. No wasted words; every sentence adds value.

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, return format, behavior, and use case. Lacks output schema, but description mentions return values (slop_score + spans) sufficiently. Complete for a simple detection tool.

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?

Only one parameter 'text' with no schema description (0% coverage). Description adds minimal context: text to detect slop in. Could specify format or max length, but adequate for simple use.

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?

Description clearly states verb 'Detect' and resource 'AI-slop in text'. It also distinguishes from siblings (slop_add, slop_ignore) by being a detection tool rather than modification or ignoring.

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

Usage Guidelines4/5

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

Provides explicit use cases: 'before returning generated prose to self-check, or to gate/rank drafts.' Lacks explicit exclusion of when not to use, but context is clear.

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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