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

With no annotations provided, the description carries the behavioral burden. It clearly establishes that the tool returns summarized aggregate figures rather than line-item rows, and clarifies that 'FREE (operator)' applies. It could mention error behavior or what happens with empty results, but its summary semantics make the main behavioral expectation clear.

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?

Three short sentences, each earning its place: the first states what the tool does, the second and third route the agent away from misleading alternatives. No filler, no redundancy.

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 single-optional-parameter summary tool with no output schema, the description gives enough to call it correctly: the aggregated metrics expected, the operator-level access note, and clear sibling distinctions. A minor gap is lack of detail about return formatting or edge cases, but the tool is simple enough that this is not a serious omission.

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?

There is only one optional parameter, and the schema already describes 'since' with 100% coverage. The description adds no parameter-specific detail, but the schema fully covers the meaning, so the baseline score of 3 is appropriate.

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 opens with a specific verb—'Summarize'—and names the exact resource and metrics: revenue, COGS, markup, and gross profit. It also explicitly distinguishes itself from get_cashflow and get_api_stats, making its purpose unambiguous even among nine siblings.

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?

It provides explicit selection guidance: prefer this over get_cashflow when totals are needed instead of per-entry rows, and prefer this over get_api_stats because it reports money PnL, not latency/success stats. This tells an agent exactly when to choose this tool and when not to.

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