Check Bopster backend health

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

With no annotations, the description carries the full disclosure burden; it implies a non-mutating read check via "read API" and "verify," but never states that it has no side effects or what a success versus failure response looks like. For a zero-parameter health probe the risk surface is small, which keeps this at adequate rather than poor.

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, zero filler, with the action front-loaded and the usage hint second. Nothing repeats the name or title.

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?

A no-param, no-output-schema probe is nearly self-contained, and the description covers what it does and when to run it. The one remaining gap is what the result signals (boolean, status string, latency), which matters for an agent deciding whether to proceed.

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 there is nothing for the description to disambiguate and the baseline of 4 applies. The schema is empty and fully consistent with the description.

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?

States a specific verb and resource: verifying that the Bopster read API is reachable and responding. Against a sibling set made up entirely of market, position, and profile operations, a pure reachability check is unmistakably distinct, so no sibling routing is needed.

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?

"Useful before running other tools" gives a clear triggering context rather than leaving timing to inference. It stops short of any exclusion or failure-handling guidance (e.g., what to do if the check fails), so it is strong but not a full when/when-not statement.

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