Get Jumbo Response Cache Statistics

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

Annotations already declare readOnlyHint=true, so safety is covered, and the description adds the meaningful behavioral fact that these are in-process caches (per-process, non-persistent) rather than shared or stored state. It also enumerates what is reported — enabled state, hits, misses, hit rate, entries, evictions — which compensates for the absent output schema. It does not say whether counters reset or how evictions are attributed, hence not a 5.

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 sentences, zero filler: the first front-loads what is reported and in what granularity, the second front-loads the use case. Every clause carries information an agent would otherwise lack.

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?

With no parameters, no output schema, and readOnlyHint already present, the description covers the essentials by listing the reported fields and the cache scope. Minor gaps remain — no mention of response shape (single object vs. per-cache entries) or whether stats are cumulative since start — but nothing that would cause a mis-call.

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 there is nothing to disambiguate; the description correctly spends no words on arguments. The enumerated metric names function as an informal preview of the return payload, which is a small bonus rather than a parameter explanation.

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?

Names a specific verb (report) and a concretely scoped resource (the in-process GraphQL-response and store-geocoding caches), then enumerates the reported metrics. No sibling in the list deals with caches, so an agent can separate this diagnostics tool from the data-retrieval tools without opening the schema.

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?

"Use to verify that cached Jumbo responses are reused instead of re-fetched" gives a clear triggering scenario. It stops short of stating exclusions or naming an alternative (e.g., when to prefer a live data call over reading stats), but for a zero-argument diagnostics endpoint the context is unambiguous.

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