Generate QBP Lite Data Bundle

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

Annotations already declare read-only, open-world, and idempotent behavior, so the description need not repeat safety. It adds meaningful behavioral context: it builds chart-ready data, includes explicit exclusions, and implies a specific structure. It could disclose more about how it aggregates or formats data, but given strong annotations, this is sufficient.

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 a single, front-loaded sentence that lists key outputs and exclusions without padding. Every element serves a purpose, and the structure leads with the primary action and outcome.

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?

Given there is an output schema (though not shown), the description need not detail return values. It covers the purpose, key inclusions, and exclusions, and the parameter info is in the schema. A minor gap is lack of examples or notes on data lag, but overall it is complete for a report-builder tool.

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 schema fully documents repdte, trend_quarters, and include_community_banks. The description adds context, like the default trend_quarters and the community-bank flag use, but does not add new meaning 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 states the tool builds chart-ready data for a QBP Lite report from public BankFind quarterly financials. It enumerates the output components (executive snapshot metrics, trend series, community-bank comparison, source notes) and explicitly excludes non-public or non-BankFind items. This distinguishes it from sibling tools that handle raw searches or deep dives.

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 implies it is for generating a concise QBP Lite report from public data, and the exclusion of non-public items hints it is not for proprietary metrics. However, it does not explicitly contrast with sibling tools like fdic_analyze_bank_health or fdic_ubpr_analysis, nor does it state when to use this vs a raw fdic_fetch. The context is clear enough for a similar-use case, but lacks explicit when-not guidance.

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