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

With no annotations, the description must carry the full burden of behavioral disclosure. It does reveal the data source, scope (federal, quantum), and output nature (shows organizations, amounts, agencies). However, it omits any mention of safety characteristics like read-only status, pagination, rate limits, or edge cases, leaving some behavioral ambiguity.

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 two sentences, front-loaded with 'US federal contracts and grants for quantum technology,' and every clause earns its place. It efficiently conveys domain, data source, output content, and a use case with zero fluff.

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 search tool with nine optional parameters and no output schema, the description handles context well by describing what the output contains (organizations, amounts, agencies) and the political/economic context (2026 executive orders). Missing are explicit mentions of pagination or result format, but the essential operational picture is sufficiently complete.

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 100%, so the schema already fully documents all nine parameters. The description adds no parameter-specific semantics beyond what the schema provides; it repeats the notion of searching by recipient, agency, and amount but does not elaborate on syntax or formats.

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 states the tool returns US federal contracts and grants for quantum technology, with a specific data source (USAspending.gov) and covered agencies (DOE, NSF, DARPA/DoD). This distinguishes it from all sibling tools, which focus on trade flows, minerals, regulatory signals, restricted entities, and SEC filings.

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 provides an explicit use case ('Use to track the quantum supply chain and policy push downstream of the 2026 quantum executive orders'), giving clear context for when to apply the tool. However, it does not explicitly state when not to use it or name alternative tools, though siblings are clearly domain-distinct.

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