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

Annotations already establish readOnlyHint=true and openWorldHint=true, so the safety profile is partly covered. The description adds meaningful context beyond annotations: official source provenance, a live FDIC average, and a status field with ok/check/blocked semantics. It does not mention rate limits, auth needs, or pagination, but the data-provenance disclosure is valuable.

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 core purpose is front-loaded, but the description is a dense, overlong paragraph. The extensive bank lists and long chains of fee types consume significant space, and some promotional phrasing like 'instead of PDFs and small print' could be trimmed without losing calling guidance.

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?

There is no output schema, so the description must explain the returned data. It does so usefully: each card has source_url, checked_at, and status, and the description clarifies country coverage, product coverage, and live FDIC data. It is nearly complete, though it could better document filtering behavior or empty-result handling.

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 both parameters are enums with documented meanings, so the schema already carries parameter semantics. The description indirectly reinforces country coverage by naming banks and product coverage by listing fee/rate types, but it adds little beyond the enum definitions.

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 states a specific resource and format: bank tariffs delivered as clean JSON cards rather than PDFs. It also names the exact fee/rate data included and the covered countries, so an agent can distinguish it from unrelated get_* siblings without inspecting the schema.

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?

It gives an implied use case: comparing accounts honestly, with instructions to mention date and source. However, it does not explicitly say when to use this tool versus alternatives such as get_prices, nor does it state exclusions or preconditions.

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