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Export public inventory

gov_ai_inventory_export

Machine-readable CSV of your publicly releasable AI use cases (for publishing at agency.gov/ai), with its SHA-256 sealed on the Privi blockchain so the published file can be proven unaltered. Requires the organization API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
include_withheldNoInclude use cases marked withhold_from_public (internal copy)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

With annotations present the bar is lower, and the description still adds real context beyond them: it discloses the auth prerequisite (organization API key) and the side effect that a SHA-256 is sealed on the Privi blockchain, which explains why readOnlyHint is false despite the word 'export'. It does not describe pagination, rate limits, or what happens when re-exporting, but the key behavioral traits are covered.

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?

Effectively one dense sentence plus a short prerequisite clause; the core deliverable (CSV export) is front-loaded and nothing is wasted. Slightly long but every clause earns its place by describing format, publishing target, and sealing.

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 no-output-schema tool, the description adequately covers what is returned (a CSV for public publishing), where it is meant to go, its integrity guarantee, and the auth requirement. Sibling differentiation and any error/failure behavior are the remaining gaps.

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% and there is only one parameter, so the schema already documents include_withheld and its effect. The description adds nothing about parameters, so the baseline of 3 applies.

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

Purpose4/5

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

The description names a specific verb and resource — exporting a machine-readable CSV of publicly releasable AI use cases — and adds the sealing mechanism and intended publishing destination (agency.gov/ai). Without the sibling context an agent can still tell exactly what is produced, though it never explicitly contrasts itself with gov_ai_verify_export or gov_ai_inventory.

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

Usage Guidelines3/5

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

Usage is implied via the stated purpose ('for publishing at agency.gov/ai') and the prerequisite 'Requires the organization API key'. There is no explicit when-to-use vs the sibling verify/inventory tools, so an agent must infer routing from the surrounding tool list.

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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