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Privi Ledger

Check inventory readiness

gov_ai_inventory_check
Read-only

Flags what an OMB M-25-21 review would flag before you submit: missing required fields, PII without a Privacy Impact Assessment, and high-impact AI in pilot or deployment missing any minimum risk practice (testing, impact assessment, independent review, monitoring, operator training, fail-safe, appeals, public feedback) or without a recently active activity log as monitoring evidence. Requires the organization API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is known. The description adds a genuinely useful behavioral trait beyond the annotations: 'Requires the organization API key,' an auth prerequisite an agent must satisfy. It does not describe the return shape, but with no output schema and read-only annotations that is a minor gap.

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?

It is a single dense sentence, but the purpose is front-loaded ('Flags what an OMB M-25-21 review would flag before you submit') before the enumeration of checks. The eight-item risk-practice list is long yet each item is substantive, so it earns its place.

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

Completeness4/5

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

For a zero-parameter, no-output-schema validator, the description covers the domain (OMB M-25-21), the trigger (pre-submission), the exact checks, and the auth requirement. It stops short of describing the response format (pass/fail vs issue list), the only meaningful omission.

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

Parameters4/5

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

The tool takes zero parameters, so the schema is trivially complete and the baseline of 4 applies. There is no parameter surface for the description to explain or compensate for.

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 names a specific action (flags review-blocking issues) and enumerates exactly what it checks: missing required fields, PII without a PIA, and high-impact AI missing minimum risk practices or an active activity log. This is far more specific than the sibling gov_ai_inventory (listing) or gov_ai_inventory_export, so an agent can route correctly without opening the schema.

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

Usage Guidelines4/5

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

The phrase 'before you submit' clearly frames when to use it as a pre-submission gate. However, it names no alternative tool (e.g., gov_ai_inventory_export to inspect raw data) and states no exclusions, so the routing guidance is contextual rather than explicit.

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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