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openclaw_chat_async

Send messages to OpenClaw asynchronously and poll for results using the returned task ID, enabling efficient handling of long-running conversations.

Instructions

Send a message to OpenClaw asynchronously. Returns a task_id immediately that can be polled for results. Use this for potentially long-running conversations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYesThe message to send to OpenClaw
session_idNoOptional session ID for conversation context
priorityNoTask priority (higher = processed first). Default: 0
instanceNoTarget OpenClaw instance name. Defaults to the default instance.
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses async behavior and returning a task_id, but does not mention error handling, rate limits, or authentication requirements. Adequate but not comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences: the first explains the action and immediate return, the second provides usage guidance. No wasted words, front-loaded with key information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (4 parameters, async behavior, sibling tools), the description covers the core purpose, async mechanism, and usage context. It lacks details on failure modes or error handling, but is sufficient for most agents. No output schema, but the return value is implied.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with each parameter having a clear description in the input schema. The tool description does not add extra meaning beyond the schema, so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Send a message to OpenClaw asynchronously', providing a specific verb and resource. It distinguishes from sibling tools like openclaw_chat (likely synchronous) and openclaw_task_status (polling).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description advises 'Use this for potentially long-running conversations', giving explicit context for when to use the async variant. It also mentions returning a task_id for polling, implying the alternative is to use openclaw_task_status. Could be more explicit about when not to use it, but overall clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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