get_stats

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

No annotations are provided, so the description must carry the full behavioral disclosure burden. It only says the tool provides totals, but does not explain whether these are counts, currency sums, point-in-time snapshots, or how the data is aggregated or scoped.

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 description is a single compact sentence that front-loads the main concept and uses the rest to name the four metric categories. There is no filler or repetition, making it highly efficient for a zero-parameter tool.

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 and no annotations, the description is the only source of information about what the tool returns. It names the relevant metric areas but leaves ambiguity about the exact meaning of 'totals' and the response structure, which is a notable gap.

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 has zero parameters and the input schema has no properties, so there are no parameter semantics for the description to enhance. The baseline of 4 applies because there is no parameter documentation burden.

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 clearly identifies the tool as returning a business overview with client, order, invoice, and revenue totals. It uses a distinct aggregate scope, which separates it from the more granular sibling tools like list_invoices or get_client, though it does not explicitly state a verb.

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?

There is no guidance on when to use this tool versus alternatives such as list_orders, get_ticket_counts, or list_invoices. The description implies it is for high-level summary numbers, but it never states exclusions or points users toward sibling tools for detailed data.

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