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

With no annotations, the description carries the full behavioral burden. It does add valuable interpretation caveats ('Reference-age screens are not publisher deadlines', 'A single VPS observer is not external uptime monitoring'), but says nothing about permissions, return format, or what the freshness/probe measurements actually contain.

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?

The description is four reasonably sized sentences with no obvious repetition, but the lead sentence is dense and front-loads obscure terminology before stating anything an agent can act on. The useful caveats are buried at the end rather than structured.

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?

There is no output schema and no annotations, so the description must do more; it partially compensates by explaining how to interpret the status output. Still, with three undocumented parameters at 0% coverage and no return-format description, an agent lacks enough to invoke or read the tool reliably.

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?

Schema coverage is 0%, so the description must document all three parameters, yet it explains only matrix (returning definition/geography pairs). The geo and series_id parameters are left entirely undefined in both the schema and the description, leaving most of the parameter surface undocumented.

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 verb 'Inspect' is present and the resource is roughly data freshness, source import ages, and 'operating probes', so an agent can infer this reports data-status/health rather than returning data values. However, the jargon-heavy phrasing ('reviewed macro country-level freshness', 'public operating probes') makes the exact purpose hard to pin down, and it never names how it differs from siblings like get_release_calendar or get_series_data.

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?

There is no explicit when-to-use versus the large set of sibling data tools. The closest thing to guidance is the conditional 'matrix=true returns actual definition/geography pairs', which is parameter behavior, not usage context. The closing caveats read as disclaimers rather than routing advice.

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