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

With no annotations, the description carries the full behavioral burden and does disclose meaningful behavior beyond the schema: default of 1000 rows when max_rows is omitted, default of 60 days of data, GMT timezone for start_date, and the auth chain (api_key plus token from /access/login). It stops short of describing pagination, rate limits, or permissions, so it is strong but not complete.

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 @param block is appropriately dense and front-loads the defaults, but the first two sentences are near-duplicates ('Returns detailed account FIAT statement' / 'Returns detailed account statement from a start date...'), so one sentence does not earn its place.

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 5-parameter, all-required read tool with no annotations and no output schema, the description covers all inputs, their defaults, and the auth prerequisites. The only thin spot is the return value, dismissed as 'a json object' with no hint of the entry fields, which matters given there is no output schema.

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 coverage is 0%, so the description must compensate entirely, and it does: every one of the 5 parameters is documented with meaning, format, and defaults. The account_fk note (database ID int, not an address str, may not be 0, sourced from /wallet/accounts_list) is exactly the kind of disambiguation an agent needs to avoid a wrong call.

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 opening states a specific verb and resource ('Returns detailed account FIAT statement') and the second sentence adds the scoping inputs (start date, max entries). However, it never distinguishes itself from near-siblings like netfluid__account_info or netfluid__wallet_accounts_list_verbose, so an agent cannot easily tell which of these returns the statement versus a balance or account list.

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 explains what the tool returns but gives no when-to-use guidance, no exclusions, and no alternative tools. An agent must infer from the name alone that this is the read path for statement history versus netfluid__account_info.

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