Loading ToolBench
Production-grade autonomous AI agent framework with structured tool access, multi-agent support, and real-time canvas rendering
ManusClaw has 3 tools with schemas present but significant quality gaps. Email tool has a complex schema with 7 parameters but lacks clarity on action dependencies and error recovery. Canvas tool has nested component schemas but minimal guidance on session management. Terminate tool is trivial (empty input). Descriptions are present but generic (10-50 chars for some params). No tool annotations (readOnlyHint, destructiveHint, idempotentHint). Error handling guidance is absent, no recovery hints or categorization. Parameter descriptions lack format constraints and validation rules. Output schemas are not documented. Tools lack composition guidance (e.g., how canvas_render chains with other tools). Security: email tool requires Gmail API credentials but no guidance on secret injection or permission gating.
Render UI components (text, charts, tables, images, buttons) on a live canvas that users can view in real-time via the web interface. Use canvas_render to display results, canvas_add_chart for quick charts, and canvas_clear to reset the canvas.
Send, read, search, and reply to emails. Actions: send(to, subject, body), read(label, max), search(query), reply(message_id, body). Requires Gmail API credentials; operates in stub mode without them.
Signal task completion and terminate the agent run
Email tool parameters lack action-dependent validation. 'to', 'subject', 'body' are required for 'send' but optional for 'read'/'search'/'reply'. No conditional schema or error guidance on missing required params per action.
No error handling guidance. Tools do not document retryable vs fatal errors, recovery steps, or actionable error messages. LLM cannot determine if a failure is transient or requires user intervention.
Canvas tool session_id parameter lacks clarity. Description says 'auto-generated if empty' but does not explain session lifecycle, persistence, or how to retrieve a previous session. Agents cannot reliably manage canvas state across calls.
Email tool description mentions 'stub mode without credentials' but does not document what stub mode returns or how to detect it. LLM cannot distinguish real results from stubs.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | D | 55 | 2026-07-28+ | v2 |
No tool annotations (readOnlyHint, destructiveHint, idempotentHint). Email 'send' and 'reply' are destructive but unmarked. Canvas 'clear' is destructive. Terminate is idempotent. LLM cannot reason about side effects or retry safety.