Remote MCP server for downloading videos from social media platforms and storing them in S3-compatible cloud storage
Three tools with minimal parameter validation and weak descriptions. test_connection and system_diagnostics have empty input schemas ({}), which is correct for no-param tools, but descriptions lack actionable context. download_video_to_cloud has only one parameter (url: string) with a generic description that includes marketing language ('85-95% success rates') rather than operational guidance. No output schemas documented. No error handling guidance. No parameter constraints (enums, patterns, ranges). Tool names are reasonable (verb_noun style) but descriptions fall short of the 50-200 char LLM-optimized baseline.
🎬 Download videos from YouTube, Instagram, TikTok, Facebook, and LinkedIn using professional techniques with 85-95% success rates
Show comprehensive system status, platform support, and success rates
Test S3 connectivity and show configuration with enhanced diagnostics
No output schemas documented. LLMs cannot infer what fields to expect from tool responses, forcing them to parse unstructured text and plan downstream calls blindly.
download_video_to_cloud description includes marketing claims ('85-95% success rates') and platform tips instead of operational guidance. Missing constraints on URL format, supported platforms, or expected behavior on failure.
No error handling guidance. Tools return raw error messages without recovery hints. E.g., 'Connection test failed: ...' does not tell the LLM what to do next (retry? check config? ask user?).
download_video_to_cloud accepts a bare 'url' parameter with no format validation, regex pattern, or enum of supported platforms. LLMs may pass invalid URLs or unsupported platforms.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | D | 50 | <=2025-11-25 | v2 |
test_connection and system_diagnostics descriptions are under 50 characters and lack context for when/why to call them.