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

With no annotations supplied, the description carries the full burden. It discloses the scope ('every service') and the live/availability nature, but does not describe the return shape, how 'down' is reported, or any aggregation behavior. For a simple read-only status tool this is adequate but not rich.

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?

Two short sentences with no filler. The primary purpose is front-loaded, followed by a scoped list of what's covered and then the usage guidance. Every sentence earns its place.

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 health-check tool with no output schema, the description covers what it does and when to use it. The only missing element is a note about return format, but the 'which services are down' phrasing implies a status list, so this is a minor 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 has zero parameters, so the baseline is 4. No parameter documentation is needed, and the description does not need to compensate for any schema gaps because there are none.

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 description uses a specific verb-resource pair ('Live availability of every service behind the RobotBase gateway') and enumerates the covered services (chain nodes, hashport engines, Web3 Agent Hub, AITOKENS, MCP itself). This clearly distinguishes it from sibling per-chain status tools like kas_node_status or chain_status.

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 description explicitly states 'When to use: an overall health check, or which services are down,' giving the agent clear selection criteria. It doesn't explicitly name alternatives or say when not to use it, but the use-case framing is sufficient for a zero-parameter global health check.

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