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get_supervisor_message

Retrieve proactive guidance or corrections from your OpenClaw supervisor. Call periodically to receive injected context or instructions before continuing.

Instructions

Poll for proactive messages from your OpenClaw supervisor. Call this every ~5 tool calls. Hedy may have injected context, corrections, or guidance. Returns: { message: string|null } — if message is non-null, read it before continuing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNoBrief description of what you just did / are about to do.
Behavior4/5

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 that Hedy may inject context and specifies the return format. It is a read-only poll, so no destructive behavior is expected, and the description covers the key behavioral traits.

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?

Three sentences, each adding value: purpose, frequency guidance, and return format. No unnecessary words. Front-loaded with the verb and resource.

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 no output schema, the description explains the return value well. It addresses polling frequency and context for use. Missing error handling details or consequences of not polling, but overall sufficient for a simple tool.

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 coverage is 100% for the single optional parameter 'context'. The description does not add extra meaning beyond the schema's brief description. Baseline 3 is appropriate as the schema already documents the parameter well.

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 it polls for proactive messages from the supervisor, with a specific verb (poll) and resource. It distinguishes from siblings: 'consult_supervisor' might initiate a conversation, 'notify_supervisor' sends messages, but this one only retrieves.

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 explicitly recommends calling every ~5 tool calls and instructs to read a non-null message before continuing. This provides clear context for when to use it, though it doesn't explicitly state when not to use it.

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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