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

There are no annotations, so the description carries the burden of explaining behavior. It usefully discloses that results can be summed or filtered and that the data source is USAspending, implying a read-only query. However, it does not explain what 'largest' means in practice, what the default output is when no options are supplied, or whether the results are sorted or limited. This is adequate but has clear gaps.

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 entire description is one compact sentence that is front-loaded with the tool's core purpose and then provides the two key usage variations. There is no filler, repetition, or wasted wording.

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 tool with four optional parameters and no output schema, the description covers the primary purpose and two important parameters but omits days and listed semantics, default behavior, and any notion of result size or sorting. It is usable for common calls but not fully self-contained for an agent choosing parameters confidently.

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 only 25%, so the description must compensate. It adds meaning to by=ticker and ticker: by=ticker sums by listed parent company, and ticker filters to one ticker. However, the days and listed parameters are not explained beyond their raw schema types, leaving some ambiguity about their exact semantics.

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 resource ('US federal contract actions from USAspending') and the core operation: retrieving the largest contract actions. It also distinguishes itself by focusing specifically on federal contract data, which none of the sibling tools reference. However, it lacks an explicit verb like 'get' or 'list', so it is clear but not maximally crisp.

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 gives concrete usage guidance for the main parameterization: using by=ticker sums by listed parent company, while ticker filters to one company. This tells an agent how to switch between aggregated and filtered modes. It does not explicitly rule out any alternative tools, but none of the visible siblings overlap directly with federal contract data, so no exclusion is necessary.

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