SignalTender B2B, GovCon & LegalTech MCP Server

DOE / NNSA National Lab M&O Subcontract & DEAR (48 CFR Ch. 9) Compliance Auditor

generate_doe_national_lab_mando_subcontract

Read-onlyIdempotent

Audit DOE/NNSA Management & Operating (M&O) National Laboratory solicitations (Sandia, LANL, ORNL, LLNL) for DEAR 48 CFR 952/970 clauses, Q-Clearance / L-Clearance requirements, Foreign National Unclassified Visits (DOE O 142.3B), and patent waivers. Returns a strictly validated DoeDearSubcontractResponse JSON object containing doe_national_lab_subcontract_overview, dear_48_cfr_952_970_clause_audit_matrix, q_l_clearance_foci_and_doe_o_142_3b_controls, and patent_rights_and_crada_tech_transfer_strategy grounded in 48 CFR Chapter 9 (DEAR Parts 952 & 970), 10 CFR Part 710 (Q/L Access Authorizations), DOE O 142.3B, & DOE O 470.4B. This is a read-only, stateless, non-destructive GovCon compliance and capture analysis call (requires X-RapidAPI-Key or X-SignalTender-Key; doe_national_lab_rfp_and_dear_clauses_text accepts 15 to 45,000 characters, while target_national_lab_and_mando_prime and clearance_and_ip_posture calibrate the regulatory regime and threshold assumptions). Use this tool when executing DOE / NNSA National Lab M&O Subcontract & DEAR (48 CFR Ch. 9) Compliance Auditor workflows; use scan_far_dfars_clauses instead for general FAR/DFARS clause flow-down audits, or generate_compliance_matrix for general Section L/M 'shall' requirement extraction.

Input Schema

Name	Required	Description	Default
`clearance_and_ip_posture`	No	Operational context, threshold parameters, or compliance posture assumptions (defaults to 'DOE Q-Clearance / L-Clearance Cross-Over from DoD TS/Secret + Domestic Small Business Patent Retention (DEAR 952.227-11)').	DOE Q-Clearance / L-Clearance Cross-Over from DoD TS/Secret + Domestic Small Business Patent Retention (DEAR 952.227-11)
`target_national_lab_and_mando_prime`	No	Target regulatory regime, statutory authority, or evaluation framework (defaults to 'Sandia_National_Laboratories_NTESS_And_Los_Alamos_National_Lab_Triad_NNSA').	Sandia_National_Laboratories_NTESS_And_Los_Alamos_National_Lab_Triad_NNSA
`doe_national_lab_rfp_and_dear_clauses_text`	Yes	Primary solicitation text, clause excerpts, deliverable schedule, or technical/financial context for DOE / NNSA National Lab M&O Subcontract & DEAR (48 CFR Ch. 9) Compliance Auditor (15 to 45,000 characters).

Output Schema

Name	Required	Description
`status`	No	Execution status ('success').
`doe_national_lab_subcontract_overview`	No	Executive determination overview, regulatory citations, and readiness score.
`dear_48_cfr_952_970_clause_audit_matrix`	No	Structured line-by-line regulatory audit, classification, or quantitative schedule rows.
`q_l_clearance_foci_and_doe_o_142_3b_controls`	No	Paste-ready compliance narratives, control specifications, or submission sections.
`patent_rights_and_crada_tech_transfer_strategy`	No	Statutory governance protocol and actionable submission verification checklist.

Schema Changelog

Changes observed during successful MCP inspections.

AddedOct 30, 2026

TDQS

A4.4/5.0

Behavior4/5

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

Annotations already declare read-only, idempotent, non-destructive behavior, but the description adds useful operational context: it is stateless, requires an API key, and enforces a 15–45,000 character input range. It also identifies the validated response object and grounding regulations, though it does not discuss rate limits or performance characteristics.

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?

The description is long but front-loaded with purpose, regulatory scope, output shape, and usage guidance. Some regulatory detail and repeated title phrasing are dense, but the length is defensible for a highly specialized compliance auditor.

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?

Given the complex regulatory domain, rich schema, annotations, and output schema, the description provides enough context for correct invocation. It covers scope, output fields, grounding authorities, input constraints, authentication, and sibling alternatives.

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

Parameters3/5

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

Schema description coverage is 100%, so the parameter semantics are already well documented. The description reiterates the primary text length range and says the target/clearance parameters calibrate the regulatory regime, but adds little beyond what the schema descriptions already provide.

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?

The description gives a specific verb and resource: auditing DOE/NNSA National Lab M&O solicitations for DEAR, clearance, foreign-visit, and patent-waiver requirements. It clearly distinguishes this specialized DOE/DEAR audit from general FAR/DFARS and Section L/M tools by naming the exact regulatory regimes and output object.

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?

It explicitly states when to use the tool for DOE/NNSA National Lab M&O subcontract and DEAR compliance workflows. It also names alternatives (`scan_far_dfars_clauses` for general FAR/DFARS flow-down and `generate_compliance_matrix` for general Section L/M extraction), providing clear routing guidance.

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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