honeybadger_scan has a well-structured input schema with 5 parameters, all typed and described. The tool description (127 chars) clearly states purpose and output format (PASS/WARN/FAIL). However, the output schema is not documented, LLMs cannot predict what fields the response contains or how to chain results. The 'paranoia' enum is properly constrained. Parameter descriptions are adequate but lack format guidance (e.g., what constitutes a valid repo_url format, expected SHA256 format). No error handling guidance is visible, LLMs won't know how to recover from network failures, invalid repos, or malformed hashes.

• Document the output schema with all fields: e.g., {status: 'PASS'|'WARN'|'FAIL', findings: [{type, severity, message}], summary: string}
• Add error handling guidance: 'If repo_url is invalid, returns FAIL with message. If network timeout, retry with exponential backoff.'
• Specify format constraints in parameter descriptions: repo_url as 'GitHub or GitLab HTTPS URL (e.g., https://github.com/owner/repo)', SHA fields as 'SHA256 hex string (64 chars)'
• Add a 'dry_run' or 'explain_findings' parameter to support confirmation workflows before acting on FAIL results
• Migrate from STDIO to HTTP+SSE or Streamable HTTP for remote accessibility