Is the human awake?
check_human_statusOnline/offline, a note from the human, and current queue length.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
check_human_statusOnline/offline, a note from the human, and current queue length.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, non-destructive, closed-world, so the safety profile is covered. The description's added value is disclosing the returned fields (online/offline, note, queue length), but with no output schema it should also say what format these take or whether the note may be empty.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single noun-phrase fragment with no wasted words, but it reads as a list of return fields rather than a front-loaded statement of purpose. Conciseness is fine; structure is weak because there is no lead clause explaining what the call does.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description carries the return-value burden and does name all three returned items. It stops short of saying how freshness works (is status live?) or how an agent should treat a long queue, which matters for a routing/decision tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, which is the baseline-4 case; there is nothing to disambiguate and the description correctly makes no parameter claims.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The fragment lists what the check surfaces (online/offline state, a human note, queue length), which implies a status-read tool, but it never states a verb or resource explicitly. An agent must rely on the tool name and title ('Is the human awake?') to conclude this returns current human availability.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to call this versus siblings such as about_this_human or ask_human, and no mention of prerequisites or when the result should gate further action. The agent must infer that this is a pre-flight check before asking the human something.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.