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compliance_check_sam_exclusion

Check if an entity is on the US federal exclusions list before awarding contracts or grants. Returns exclusion status, type, and dates using SAM.gov data.

Instructions

Check whether an entity is on the US federal exclusions list (debarred from government contracts). Read-only. No side effects. Idempotent. US only. name_or_ein: Entity name or 9-digit EIN with or without dash e.g. Acme Corp or 13-1234567. Required. Name match is fuzzy — verify EIN for exact results. Returns excluded: true/false, exclusion type, and exclusion dates if found. Use this before awarding federal contracts or grants. Use govcon_search_contract_awards instead to find what contracts an entity has won. Verified source: SAM.gov. 24-hour cache. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="compliance_check_sam_exclusion", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
name_or_einYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

No annotations, but description fully discloses read-only, no side effects, idempotent, 24-hour cache, fuzzy name matching, and verified source. No contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with purpose; each sentence adds value. Slightly long but well-structured; minor redundancy (e.g., read-only, no side effects, idempotent could be condensed).

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With one parameter and output schema implied, description covers return fields, cache, source, fallback feedback mechanism, and sibling differentiation, exceeding completeness needs.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Input schema has 0% description coverage; description provides format, required status, examples, and guidance on fuzzy vs exact matching, fully compensating.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states the tool checks US federal exclusions list with specific verb and resource; distinguishes from sibling govcon_search_contract_awards via explicit when-to-use/alternative.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says when to use (before awarding federal contracts/grants) and when not (use govcon_search_contract_awards instead). Also notes US-only applicability.

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

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