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

The description goes beyond the all-false annotations by disclosing line-level deduplication ('stored lines skipped'), locale-sensitive amount parsing, and the detected/stored/skipped return summary. It does not contradict the annotations: idempotentHint=false is not incompatible with this line-level dedupe claim.

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 sentences deliver the purpose first, then parsing/dedupe behavior and return value. Every sentence adds useful information, and there is no repetition of schema content.

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?

With no output schema, the description appropriately summarizes the return as detected/stored/skipped and covers key runtime behaviors. It does not mention the bank_upload prerequisite in prose, though the schema's path parameter does; this is a minor gap given full schema coverage.

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?

All five parameters already have rich descriptions in the schema, so the baseline is 3. The description adds file-format context such as header detection and locale behavior, but does not add per-parameter meaning beyond what the schema already provides.

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 action: 'read a bank CSV into the local ledger' and names the key outcome counts. This clearly distinguishes importing from sibling operations like bank_upload or statement_export, even without naming them.

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 opening phrase 'Call this tool to read a bank CSV into the local ledger' provides a direct trigger condition. It does not explicitly compare with alternatives or list when-not-to-use cases, but the intended context is clear.

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