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

Annotations only declare readOnlyHint=true; the description adds the meaningful behavioral detail that results are aggregated to one row per import day with a movement count and date range, which is not in the annotations and there is no output schema to carry it. It omits ordering/pagination and how far back imports are retained.

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?

Two short sentences: the data shape is front-loaded, then the intended use case. Every clause earns its place and nothing is repeated from the annotations or schema.

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 zero-parameter read tool with no output schema, the description covers what the rows represent and how to apply them, which is close to sufficient. Missing only minor operational context such as ordering or the scope of history returned.

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 tool takes zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The description correctly adds no parameter chatter.

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?

States a specific resource (bank statement imports of this account) and the exact result granularity (one row per import day, with movement count and date range), which lets an agent distinguish it from sibling bank tools like list_bank_trash or delete_bank_transactions. It never names a sibling to contrast with, so it stops short of a 5.

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?

"Use it to offer the user 'delete what I imported on <day>'" gives a concrete workflow context, implicitly routing to the delete counterpart. It does not state exclusions or name the alternative tools (e.g. list_bank_trash for already-deleted items), so routing is implied rather than explicit.

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