Server has 4 tools with basic schemas and descriptions, but significant gaps prevent production use. All tools have descriptions (10-50 chars, below the 50-200 char baseline for LLM optimization). Input schemas are present but minimal: create_linkedin_post and create_linkedin_image_post lack enum constraints for 'visibility' parameter (should be PUBLIC|CONNECTIONS). Output schemas are completely undocumented, LLMs cannot predict return structure. Error handling returns free-text strings instead of structured errors with recovery guidance. No parameter validation, no idempotent hints, no destructive operation warnings. Tool names are clear (verb_noun pattern), but descriptions are too terse to guide LLM selection.

• Add enum constraint to 'visibility' parameter: {"type": "string", "enum": ["PUBLIC", "CONNECTIONS"], "description": "Post visibility level. PUBLIC reaches all users; CONNECTIONS reaches only your network."}
• Expand tool descriptions to 50-200 chars. Example: 'Create a text-only LinkedIn post visible to PUBLIC or CONNECTIONS. Returns post_id on success. Irreversible, cannot be undone via this API.'
• Document output schema for each tool. Example for create_linkedin_post: {"type": "object", "properties": {"post_id": {"type": "string"}, "status": {"type": "string", "enum": ["success", "error"]}, "message": {"type": "string"}}}
• Replace free-text error returns with structured errors. Instead of 'Failed to get user ID: ...', return {"status": "error", "code": "auth_failed", "message": "LinkedIn credentials invalid. Verify LINKEDIN_ACCESS_TOKEN in .env.", "recovery": "Call validate_linkedin_credentials() to test credentials."}
• Add idempotent hints to tool definitions (via tool annotations if supported by framework). Mark create_linkedin_post and create_linkedin_image_post with destructiveHint=true to signal agents these are irreversible.