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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and a closed local scope, so the safety profile is covered. The description adds context beyond that by specifying what the status report contains (build state plus counts of foods by dataset and records with an ingredient statement), which tells the agent the call is informational rather than merely successful/failed.

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, no filler, and the core question (is the database built?) is front-loaded before the detail about result contents. 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?

With no parameters, rich annotations, and an output schema that documents the return shape, the definition is nearly complete. The one gap is guidance on what an agent should do if the database reports as not built, which is not covered anywhere in the description.

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?

Zero parameters, so the baseline is 4 and there is nothing for the description to disambiguate. No parameter detail is expected or missing here.

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 ('Reports whether the local USDA database is built') plus the contents it summarizes. This is clearly a diagnostic/status tool and is unmistakably distinct from the food-analysis siblings like search_foods or analyze_meal.

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 statement, no prerequisites, and no named alternatives. Usage is only implied: an agent would infer this is a pre-flight check before querying the database, but the description never says so or explains what to do when the result indicates the database is not built.

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