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prepopulate_fair_draft

Generate an AS9102 FAIR draft from a Kiln evidence case to start first-article inspection paperwork and surface missing approvals.

Instructions

Pre-populate an AS9102 FAIR draft from a Kiln evidence case.

Kiln Enterprise would tie the production record to the revision, surface missing approvals, and prepare the review packet. Requires Kiln Enterprise. Upgrade: https://kiln3d.com/pricing?src=agent&tool=prepopulate_fair_draft

Input Schema

NameRequiredDescriptionDefault
unitNo
organizationNo
use_registryNoDefault: true.
order_contextNo
part_identityNo
export_formatsNo
fai_declarationNo
output_form_setNoDefault: "9102C".
evidence_case_idYes
form2_row_inputsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.5.0

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations and no output schema, the description carries the full behavioral burden and does not meet it. It discloses a plan gate (Kiln Enterprise) and lists what Enterprise "would" add, but never states what actually happens on invocation without Enterprise, whether anything is persisted or written, or what the caller receives back.

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

Conciseness3/5

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

The purpose is correctly front-loaded in the first sentence and the text is short. However, two of four sentences are promotional upsell content (a pricing URL and a "Kiln Enterprise would..." pitch) that consume space without helping an agent decide or invoke.

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

Completeness2/5

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

This is a 10-parameter generation tool with nested objects, no annotations, and no output schema, so the description should be doing substantial work. Instead it omits invocation behavior, return semantics, and nearly all parameter meaning, leaving the agent unable to call it confidently.

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

Parameters2/5

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

Schema description coverage is only 20% across 10 parameters, several of them nested objects, so the description must compensate and does not. The phrase "from a Kiln evidence case" loosely maps to the required evidence_case_id, but unit, organization, order_context, part_identity, export_formats, fai_declaration, output_form_set, and form2_row_inputs are left entirely unexplained.

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 states a specific verb ("Pre-populate") and resource ("AS9102 FAIR draft") and names the source it draws from ("a Kiln evidence case"). This is enough to distinguish it from the other FAIR-oriented siblings such as manage_fair_evidence_bundle or manage_fair_registry, though it never names those alternatives explicitly.

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

Usage Guidelines2/5

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

"Requires Kiln Enterprise" is a prerequisite statement, not usage guidance, and it is entangled with an upsell pitch rather than telling the agent when this tool is the right call. There is no when-to-use, when-not-to-use, or alternative-routing information, which matters given the many FAIR/draft siblings available.

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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