get_payout_statements

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

With no annotations provided, the description carries the full disclosure burden. The 'NOT financial/tax advice - just the raw statement data' clause genuinely adds value by setting output expectations: the agent learns this returns uninterpreted data suitable for reconciliation, not analysis or guidance. However, it discloses nothing about pagination behavior, the filtering semantics of the 'paid' boolean, or the required date format for created_after — meaningful behavioral traits for a 6-parameter query tool.

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 with zero filler: the verb+resource is front-loaded, the purpose is packed into a tight parenthetical, and the disclaimer earns its place by preventing the tool from being misused as financial advice. The mid-sentence capitalized 'NOT' is stylistically awkward but not confusing. It is appropriately sized for the information it conveys.

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?

This is a 6-parameter tool with zero required fields, zero annotations, and no output schema, yet the description only covers purpose and output nature. Filter semantics, pagination, and response shape are all left undocumented, so an agent cannot fully predict what will happen when it calls the tool. Like the update_drive calibration case, a tool with this little structured metadata needs to say more to be safely invoked autonomously.

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 0% and the description references none of the six parameters, so it fails to compensate for the uncovered schema. page, size, country, and currency are reasonably self-evident from their names, but 'paid' (does true mean only settled statements?) and created_after (which date format?) remain genuinely ambiguous. An agent would have to guess at the semantics of two of the six parameters.

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 pairs a specific verb ('List') with a concrete resource ('payout statements') and anchors it with a real-world purpose: reconciling Jumia payouts against the user's own books. The resource is clearly distinct from sibling list_* tools (orders, products, shops, brands), so an agent can disambiguate without opening the schema. It earns a 4 rather than 5 because it never explicitly names a sibling or states what it is not in relation to another tool.

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 parenthetical 'for reconciling what Jumia has paid out against your own books' gives a concrete, matchable use case that tells an agent when this tool is the right call. No alternatives or when-not-to-use exclusions are stated, but among the 26 siblings there is no competing payout-statement tool, so the exclusion gap is minor. These two sentences deliver clear context without going as far as naming an alternative.

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