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

Annotations already cover read-only, idempotent, open-world, and non-destructive behavior. The description adds a meaningful behavioral detail beyond those annotations: results are ranked by gross approval amount, which tells the agent what 'largest' means and how output ordering is determined. No hidden side effects or contradictions exist.

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 compact and front-loaded: the first sentence states exactly what the tool returns and how results are ranked/filtered. The second sentence adds illustrative user queries without redundancy. No filler or repeated schema information.

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 read-only list-query tool with 100% schema coverage and no required parameters, the description covers all essential aspects: resource, ranking, filters, and example intents. Although there is no output schema, the return shape is sufficiently clear from 'loans ranked by gross approval amount'.

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%, so the parameters are already well-documented. The description re-lists the filter dimensions and provides a NAICS example, but it does not add significant semantic depth beyond the schema. Baseline 3 is appropriate.

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 clearly identifies the resource (SBA 7(a)/504 loans), the ranking criterion (gross approval amount), and the available filters. It also gives concrete example questions, which removes ambiguity and differentiates it from SBA aggregate, league-table, and lookup siblings.

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?

The description provides clear use-case examples ('what are the biggest SBA loans in NAICS X', 'largest SBA loans in Texas'), signaling when the tool is appropriate. It does not explicitly mention when not to use it or name alternatives, but the context is strong enough for an agent to select it correctly.

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