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

With no annotations, the description must carry the behavioral load. It does disclose the return payload and the cost profile ("FREE"), and "liveness handshake" strongly implies a side-effect-free read, but it never explicitly states read-only/non-destructive semantics or rate/authorization behavior.

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 tight sentence with the cost flag front-loaded and the payload immediately after. Nothing is wasted and the most decision-relevant facts lead.

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-parameter liveness probe with no output schema, describing the returned fields (name, version, time) covers the essentials. The absence of annotations leaves safety/cost behavior partly implicit, which is the only real gap.

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 per the baseline a 4 applies. The description adds nothing about parameters because there are none to describe.

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?

"Liveness handshake" names a specific operation and the description enumerates exactly what it returns (service name, version, server time), so the agent knows the tool's job immediately. It is clearly distinct from siblings like list_services or validate, though it doesn't explicitly call out that distinction.

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?

The notion of a liveness handshake implies the usage (verify the service is reachable/up), but there is no explicit statement of when to reach for this versus alternatives, no prerequisites, and no exclusions. Usage is inferable rather than stated.

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