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manage_protection_outcomes

Record and read outcome observations for protected board configurations, tracking evidence grade, causal status, and observation window.

Instructions

Record and read real outcome observations for a protected board configuration (Enterprise).

Enterprise adds SSO, RBAC, and audit export. Requires Kiln Enterprise. Upgrade: https://kiln3d.com/pricing?src=agent&tool=manage_protection_outcomes

Input Schema

NameRequiredDescriptionDefault
kindNoDefault: "".
notesNoDefault: "".
stateNoDefault: "".
actionYes
observed_onNoDefault: "".
causal_statusNoDefault: "reported".
evidence_gradeNoDefault: "unverified_report".
source_event_idNoDefault: "".
evidence_case_idNoDefault: "".
article_referenceNoDefault: "".
evidence_referenceNoDefault: "".
observation_windowNoDefault: "".
execution_referenceNoDefault: "".

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.5.0

TDQS

C2.5/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It reveals the Enterprise gating, but says nothing about whether observations are mutable, what the read mode returns, whether records are append-only/immutable audit artifacts, or what the required "action" value does — notable gaps for a tool that both writes and reads outcome data.

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 substantive content is a single sentence, but three of the four lines are Enterprise upsell boilerplate and a pricing URL that do not help an agent invoke the tool. Front-loaded purpose is fine; the promotional tail is dead weight.

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?

A 13-parameter tool with no annotations and no output schema needs more than this. Most critically, the single required parameter "action" has no description, no enum, and no mention in the prose, so an agent cannot know what values to pass or what the tool will do with them.

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 92%, so the schema already documents the field-level parameters and a baseline of 3 applies. The description adds no syntax, format, or interpretation guidance (e.g. what values evidence_grade or causal_status accept) beyond what the schema supplies.

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

Purpose3/5

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

The verb pair ("record and read") is clear, but the resource — "outcome observations for a protected board configuration" — is undefined jargon that never gets explained. Against dozens of sibling tools named record_*_outcome (record_design_version_outcome, record_load_outcome, record_magnet_outcome), nothing here tells an agent why this one exists separately.

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 an access prerequisite, not usage guidance. There is no statement of when to choose this over the other record_*_outcome tools, or how to decide between its own record and read modes.

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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