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cultural_context_check

Analyze messages for cultural sensitivity issues by specifying audience and region. Receive flags, concerns, and suggested alternatives with uncertainty disclosure.

Instructions

Check a message for cultural sensitivity issues for a given audience or region. Returns flags, concerns, and suggested alternatives with uncertainty disclosure. Safety boundary: context-sensitive recommendations with uncertainty disclosure.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
regionNoOptional geographic region for more specific context
messageYesThe message or content to check
audienceYesTarget audience description
Behavior3/5

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

With no annotations provided, the description carries the transparency burden. It mentions 'uncertainty disclosure' and a 'safety boundary', indicating cautious behavior, but does not elaborate on limitations, side effects, or what constitutes a 'safety boundary'.

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?

The description is two sentences, front-loading the purpose and return values. Every sentence adds value—no redundancy or fluff.

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

Completeness3/5

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

Given no output schema, the description outlines returns (flags, concerns, suggested alternatives) but lacks details on output structure or example usage. It is adequate but could be more complete for a moderation 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?

The input schema has 100% description coverage, so the baseline is 3. The tool description does not add additional parameter semantics beyond what the schema already provides (e.g., it does not explain how region or audience affect the check).

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?

The description clearly states the tool's purpose: to check a message for cultural sensitivity issues for a given audience or region. It distinguishes itself from sibling tools like rewrite_depression_sensitive_content by focusing specifically on cultural sensitivity.

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?

The description provides no guidance on when to use this tool versus alternatives (e.g., accessibility_audit, empathetic_reframe). It lacks explicit when-to-use or when-not-to-use instructions.

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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