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

The readOnlyHint=true, destructiveHint=false, and openWorldHint=false annotations already establish that this is a safe, closed-world read, so the description only needs to add context. It does add value by revealing the diagnostic areas inspected (stale/empty panels, failing jobs, storage), but says nothing about cost, aggregation, or what the result set looks like, which matters since there is no output schema.

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, front-loaded with the purpose label followed by the covered areas. Slight redundancy with the title "Workspace health check", and the trailing "verify everything works" adds little beyond the enumeration that precedes it.

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 read-only tool this is close to sufficient: the agent knows it is a broad diagnostic sweep. But it never indicates the response shape (per-check status? a single pass/fail?) and, absent an output schema, that omission leaves a real gap; it also doesn't clarify whether this duplicates get_usage's storage numbers.

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 description correctly implies no inputs are needed.

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 states the resource checked (a workspace health check) and enumerates the areas covered: failing jobs, stale or empty panels, dashboards, storage usage. This lets an agent predict the response contents, though the phrasing is a noun list rather than a verb+resource, and it overlaps noticeably with siblings like get_usage and list_jobs without distinguishing itself.

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 this to verify everything works" gives a general usage condition, so an agent knows this is the diagnostic entry point rather than a CRUD call. However, there is no when-not guidance and no mention of when to prefer the more specific get_usage or list_jobs tools for the same data.

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