import type { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
/**
 * Static resource describing Sentinel ML model capabilities, input constraints,
 * and confidence thresholds. LLM consumers should read this once per session
 * to correctly interpret detection results and decide when not to call a tool.
 *
 * Values sourced from:
 *   - settings.py:    max_num_faces=5, min_face_area=30000
 *   - detection.py:   _score_to_verdict() thresholds (0.7 FAKE, 0.4 SUSPICIOUS)
 *   - self_blended.py: v5.1.0, EfficientNet-B4, 380×380 input
 *   - deepfake_defender.py: v2.12, MFF_MoE, 512×512 input
 *   - moe_gating.py:  v3.1, EfficientNet-B1, 224×224 gating weights
 *   - models.yaml:    pipeline definitions (default, fast, accurate)
 */
export declare function registerCapabilitiesResource(server: McpServer): void;