Check the service
service_healthCheck that the AI SENSE service answers. Returns status ok and the server time with microseconds. No API key, no account and no sign up: call it directly.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
service_healthCheck that the AI SENSE service answers. Returns status ok and the server time with microseconds. No API key, no account and no sign up: call it directly.
| 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 readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds value beyond them by disclosing the auth profile (no API key/account/sign-up) and the return behavior (status ok plus microsecond-precision server time). It does not mention rate limits or failure semantics, but for a health probe that is a minor gap.
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?
Purpose and return value are front-loaded in the first two sentences, and the eligibility note is last. It is compact, though 'No API key, no account and no sign up' is a slightly redundant triple that could be tightened.
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?
For a zero-param, no-output-schema tool, the description covers the essential contract: it explains what is checked and what comes back. It leaves failure/timeout behavior unstated, but the core information needed to call it correctly is present.
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, so the schema carries the entire contract and the description correctly says nothing about inputs. Baseline 4 is appropriate for a no-param tool.
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?
It states a specific verb+resource ('Check that the AI SENSE service answers') and even previews the payload ('status ok and the server time with microseconds'). It is clear on its own, but does not differentiate from nearby siblings like get_current_time or ping_heartbeat that also return time/liveness.
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?
'Call it directly' with 'No API key, no account and no sign up' implies it is a no-setup eligibility probe, which is useful usage context. However there is no explicit when-to-use-it-vs-get_current_time-or-ping_heartbeat guidance, leaving choice among overlapping siblings to inference.
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.