cc-openclaw-bridge provides two user-interaction tools with reasonably clear naming and comprehensive input schemas. Both tools are explicitly registered with Zod schemas and descriptions. However, schema documentation is embedded in Zod validation rather than exposed in a machine-readable output schema format. Parameter descriptions are present and specific (e.g., 'Option text, 1-5 words', 'Clear question ending with ?'), meeting baseline standards. Tool descriptions are action-oriented and explain the use case. Weaknesses: (1) No documented output schemas, responses are wrapped in generic 'content' structures without field-level documentation; (2) No error handling guidance, tools lack recovery paths or error categorization; (3) Missing idempotency and destructiveness hints in tool definitions; (4) Context parameter is optional everywhere, reducing explicitness about state threading. Tools are well-composed (each does one thing), and naming follows verb_noun convention ('ask_user', 'notify_user'). Schema completeness is strong, all critical parameters have types and descriptions, but the lack of structured output documentation and error patterns prevents a higher score.

• Document structured output schemas for both tools. For ask_user, return { questions: [{ header, question }], answers: [{ index, answer, selectedOptions? }] } instead of formatted text. This lets LLMs parse results programmatically.
• Add error handling guidance to tool descriptions. Example: 'ask_user may timeout after 5 minutes waiting for user response, or fail if network connectivity is lost. If timeout occurs, retry with a simpler question, or use notify_user to inform the user asynchronously.'
• Declare tool annotations in server.tool() registrations. Use readOnlyHint: false to indicate ask_user and notify_user modify external state (send to messaging app). For ask_user, clarify that it blocks for user input (blocking semantic), unlike most tools.
• Add validation and error responses. If questions array is malformed (e.g., question missing or header > 12 chars), return a structured error with the constraint violated and the invalid value. E.g., { error: 'Invalid header length', got: 'ThisHeaderIsTooLong' (18 chars), max: 12 }.
• Consider making context required or strongly encouraged. Add guidance: 'context describes the agent's current task to the user. Example: "Choosing CI/CD framework" or "Debugging deployment error". Omitting context may confuse the user.'
• Document ask_user's blocking behavior and timeout. State: 'Blocks for up to 5 minutes waiting for user response. If user does not reply, returns timeout error. Consider shorter questions and clearer options to increase response likelihood.'