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assess_fair_reaccomplishment

Assess FAI re-accomplishment needs from evidence drift, flagging production records for review and missing approvals.

Instructions

Detect FAI re-accomplishment signals from evidence drift.

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=assess_fair_reaccomplishment

Input Schema

NameRequiredDescriptionDefault
evidence_case_idNoDefault: "".

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.5.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. It discloses the Kiln Enterprise tier requirement, which is useful, but the conditional "would tie... surface... prepare" phrasing implies the actual call may be a no-op upsell rather than the described assessment, and it does not state what happens on invocation without Enterprise. This is a meaningful ambiguity for a tool whose name promises detection.

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 front-loaded in the first sentence, which is good. But the remaining content is largely promotional ("Kiln Enterprise would...", pricing URL), and that copy does not help an agent select or invoke the tool, so it does not fully earn its place.

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

Completeness3/5

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

There is no output schema or annotations, so the description must be self-sufficient. It communicates the tier gate and a rough intent, but does not explain the return, what "evidence drift" means concretely, or what calling it without Enterprise yields. Adequate but with clear gaps for a 1-param assessment tool.

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 baseline is 3. The single parameter evidence_case_id is documented only as "Default: \"\"" in the schema, and the description adds no meaning about what an evidence case is or how to obtain its ID. No value is added beyond the schema.

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?

"Detect FAI re-accomplishment signals from evidence drift" gives a specific verb (detect) and resource (FAI re-accomplishment signals), which distinguishes it from siblings like manage_fair_characteristics and prepopulate_fair_draft. However, the follow-on sentence describing what Kiln Enterprise "would" do muddies whether this tool actually performs that detection, leaving the core purpose slightly ambiguous.

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?

The description states a prerequisite ("Requires Kiln Enterprise") but offers no when-to-use guidance, no trigger conditions, and no alternatives among the many FAIR-related siblings (manage_fair_evidence_bundle, manage_fair_registry, prepopulate_fair_draft). An agent cannot tell when to select this over those tools.

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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