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

With no annotations, the description carries the behavioral burden and largely meets it: it discloses that only active exclusions are returned, that addresses/identifiers/comments are dropped, that filters combine with AND, that q searches all text fields, and that each call costs 1 credit. Pagination and rate-limit behavior are not mentioned, but the provided traits are substantial.

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 dense and well-structured, front-loading the dataset identity and scope before adding ingest normalization, filter semantics, and cost. Every sentence earns its place and there is no filler.

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 high-complexity tool with 15 parameters, no annotations, and no output schema, so the description is insufficiently complete. It does not describe the response shape, pagination behavior, or the value domains of key filters, which an agent would need to invoke the tool correctly.

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%, so the description must compensate, but it only explains that filters combine with AND and that q searches all text fields. It does not explain the meaning or acceptable values of the 15 parameters, especially classification, exclusion_type, excluding_agency, and exclusion_program, leaving the agent to guess.

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 SAM.gov active exclusions/debarments), the entities covered, and the intended use (supplier due diligence). Its US scope distinguishes it from the UK/EU sibling tools without ambiguity.

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 clear context: this is for US federal exclusion/debarment screening and compliance purposes. It does not explicitly name alternatives or say when not to use it, but the US-vs-UK/EU scope in the sibling list makes the usage context reasonably clear.

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