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Run ABV Assessment

run_abv_assessment

Verify pre-deployment agent behavior against a Worker Remit. Returns JSON maturity (0-100), gaps, and recommendations. Compliance: EU AI Act Art. 14, KYA-OS. Cost $0.50 per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
missionNoMission statement the agent claims to follow.
agent_idYesAgent identifier to assess against the Worker Remit.
evidenceNoOptional structured evidence payload for the ABV engine.
allowed_toolsNoTools the remit permits.
intended_roleNoStated role of the agent (used for remit matching).
evidence_filesNoOptional evidence file objects supplied for the assessment.
forbidden_toolsNoTools the remit forbids.
requires_approvalNoActions that must escalate to a human or Gatekeeper.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okNoTrue when the tool completed without a validation error.
gapsNoBehavioral gaps against the remit.
toolNoTool name that produced this payload.
paymentNoSettlement receipt after x402 or sandbox payment.
maturityNoABV maturity score 0–100.
recommendationsNoRemediation recommendations.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations provide no safety profile (all hints false), so the description carries the full burden. It does disclose cost ($0.50/call), compliance constraints, and the JSON result shape, which is useful. But it does not state whether the call has side effects, requires auth, or has rate limits, leaving mutability ambiguous.

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

Conciseness5/5

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

Three short sentences: purpose, output, compliance/cost. No filler, and the most important information is front-loaded. Every sentence earns 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?

The description covers purpose, output, compliance, and cost, and an output schema exists to describe return values. However, for an 8-parameter tool with nested objects, it omits when-to-use guidance and side-effect clarity, making it adequate but not strong.

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 schema already documents all 8 parameters. The description adds no parameter-specific guidance beyond what the schema provides, so the baseline 3 is appropriate.

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 clearly states the tool verifies pre-deployment agent behavior against a Worker Remit and returns JSON maturity, gaps, and recommendations. It identifies a unique purpose (ABV, Worker Remit) that distinguishes it from sibling verify/get tools, but it never explicitly names a sibling or contrast, so it does not fully meet the 5 criterion.

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 'pre-deployment' qualifier gives clear context for when this assessment is appropriate, and the output/cost/compliance notes reinforce its evaluation role. However, no explicit when-not-to-use guidance or alternative tool names are provided, so it falls short of a 5.

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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