Skip to main content
Back to Prompt Library
implementation

MCP-Enabled Moderation Tool Integration

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Combat AI Slop: Multi-Agent System for Content Authenticity

Format
Text-first
Lines
1
Sections
1
Linked challenge
Combat AI Slop: Multi-Agent System for Content Authenticity

Prompt source

Original prompt text with formatting preserved for inspection.

1 lines
1 sections
No variables
0 checklist items
Develop the MCP-enabled tool integrations for your 'Moderation Decision Maker' agent. Create a simple mock API (e.g., using Flask or a class-based simulation) that exposes functions like `flag_content(content_id, reason, severity)` and `remove_content(content_id)`. Demonstrate how your agent uses MCP to securely and correctly call these tools based on the AI Detector's findings.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.