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

Annotations already declare readOnly, idempotent, open-world, and non-destructive behavior, so the safety profile is covered. The description adds useful context about the frozen-snapshot data source and year-over-year growth, but it does not disclose operational details such as pagination, data freshness, or whether prior-year data is required. It neither contradicts nor substantially extends the annotations.

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 with no filler, repetition, or unnecessary detail. Every word contributes to the meaning.

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?

Despite the presence of an output schema and annotations, this is a complex tool with 12 optional filter parameters, no required parameters, and no schema descriptions for any of them. The one-line description does not explain how filters interact, what 'frozen-Snapshot' implies for selecting a year, or what qualifies as a product originator, leaving an agent without enough context to invoke the tool confidently.

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 input schema has 12 parameters and 0% description coverage, so the description needed to compensate, but it never mentions any parameter or default behavior. Parameter names are somewhat self-explanatory, and 'product originations' hints at product-family filtering, but unexplained defaults such as product_family='heloc' and year=null remain ambiguous.

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 uses a specific verb–resource pair: 'Get frozen-Snapshot HMDA product originations and year-over-year growth.' This clearly identifies what the tool does and distinguishes it from sibling analytics tools like get_market_snapshot and get_servicer_analytics. It falls short of 5 because it does not explicitly name or contrast itself with any sibling.

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 that this tool is for HMDA product-level originations and year-over-year growth, but it gives no explicit when-to-use or when-not-to-use guidance. With nine sibling tools, including several analytics tools, the absence of any routing hints makes the usage guidance only partially clear.

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