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content-moderation

Classify text and image URLs for harmful content like hate speech, harassment, and violence. Returns risk levels, flagged categories, and an optional safe rewrite.

Instructions

Classify text (and optional image URLs) for harmful content — hate speech, harassment, self-harm, sexual content, violence, and illicit instructions. Returns flagged status, risk level (NONE/LOW/MEDIUM/HIGH), flagged categories, per-category confidence scores, and an optional AI-generated safe rewrite.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textNoText content to moderate (required unless image_url provided).
image_urlNoOptional public image URL to moderate alongside text.
rewriteNoIf true and content is flagged, return an AI-generated safe rewrite. Adds ~1s latency.
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses return fields (flagged status, risk level, categories, confidence scores, safe rewrite) and notes latency for rewrite. However, it does not explicitly state read-only nature or auth requirements.

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?

Two concise, information-dense sentences. Front-loaded with purpose, then enumerates return fields. No extraneous words.

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, parameters, and output adequately. Missing edge cases like simultaneous text and image handling or error scenarios, but sufficient for typical use.

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

Parameters4/5

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

Schema coverage is 100%, baseline 3. Description adds value by explaining the 'rewrite' parameter's latency implication and clarifying 'text' conditionality. Enhances schema description.

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?

Clearly states classification of text and optional images for harmful content with specific categories like hate speech and violence. Distinguishes from sibling 'content-analyze' by focusing on moderation.

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?

Implied usage for content moderation, but no explicit guidance on when not to use or alternatives. Sibling tools like 'content-analyze' could be confused without further direction.

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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