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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered without the description. The description's contribution is the returned metric set (count, dollars, median loan, top lenders, top industries), which is real added context given there is no output schema. It says nothing about the aggregation time window or data vintage, which are the behaviors an agent would still need to know.

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?

One compact sentence listing exactly the measures returned, with the scoping constraint ('one state') placed at the end. Nothing is redundant. The only flaw is that it is a noun phrase without a verb, so it reads as a label rather than an instruction.

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 one-parameter read tool, the definition covers what dimensions come back and the annotations cover safety, so an agent can call it correctly. It omits the reporting period and data source, however, which matters for a statistics tool where 'dollars' could be fiscal-year, calendar-year, or cumulative. That gap is the main thing keeping this from being complete.

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 description coverage is 100% and the single 'state' parameter documents that a two-letter code or full state name is accepted. The phrase 'for one state' in the description reinforces the single-state granularity but adds no syntax or format detail beyond the schema. Baseline 3 applies.

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 names the specific resource (SBA Express lending in a single state) and enumerates the returned measures: loan count, dollars, median loan, top lenders, top industries. That is far more informative than the ambiguous tool name 'get_state'. It stops short of a leading verb and never distinguishes itself from sibling get_program_statistics, which an agent could easily mistake for this.

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 guidance, no exclusions, and no mention of alternatives such as get_program_statistics, get_lender, or list_lenders. The agent must infer from the tool name and the metric list whether this is the right call for a given question.

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