RQM Studio Jobs

Optimization preservation audit

quantum_optimization_preservation_audit_v1

Idempotent

Problem: Audit candidate optimization equivalence and qualitative coupling preservation. Input: JSON with original circuit, candidate circuit. Result: preserved or candidate-withheld outcome, input and output hashes, metric and.... Limits: Local software evidence only; 3 verification qubits; 65536 request bytes.

Input Schema

Name	Required	Description	Default
`request`	Yes
`schema_version`	Yes
`idempotency_key`	Yes
`max_total_price`	Yes

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedOct 25, 2026

changedOutput schema / anyOf

Previous value: -[
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+      "job_id": {
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+      "payment_rail": {
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+      "price": {
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+      "product",
+      "capability_id",
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+      "request_schema_version",
+      "catalog_revision",
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+      "job_id",
+      "status",
+      "quote_id",
+      "reservation_id",
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+      "payment_rail",
+      "price",
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+          "MACHINE_AUTHORIZATION_FAILED",
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+          "FEATURE_DISABLED",
+          "QUOTE_NOT_ENTITLED",
+          "QUOTE_IDEMPOTENCY_CONFLICT",
+          "QUOTE_NOT_AVAILABLE",
+          "QUOTE_REQUEST_INVALID",
+          "QUOTE_MISMATCH",
+          "PRICE_LIMIT_EXCEEDED",
+          "RUNTIME_LIMIT_EXCEEDED",
+          "ARTIFACT_PREFERENCE_UNAVAILABLE",
+          "INSUFFICIENT_BALANCE",
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+          "PRODUCT_REJECTED",
+          "PRODUCT_UNAVAILABLE",
+          "JOB_NOT_FOUND",
+          "JOB_NOT_READY",
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First observedSep 12, 2026

TDQS

C2.4/5.0

Behavior3/5

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

Annotations already declare readOnly=false, idempotent=true, openWorld=false, destructive=false. The description adds real value beyond that with hard limits (local software evidence only, 3 verification qubits, 65536 request bytes), but it omits that this is a priced job tied to max_total_price=0.250000, and the result line trails off mid-sentence.

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

Conciseness2/5

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

The Problem/Input/Result/Limits framing is efficient, but the description is literally truncated ('metric and....') and uses an unclosed parenthetical of jargon. What little space is used is partly wasted on an incomplete clause.

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?

An output schema exists, so return values needn't be explained in depth, but for a non-read-only, priced, idempotent job tool the description should cover cost/charging and idempotency behavior. With 0% parameter coverage and a truncated result sentence, an agent cannot reliably construct a valid call.

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 0% across four required parameters, so the description must compensate and largely doesn't. It mentions 'original circuit, candidate circuit' inside the opaque request object but says nothing about schema_version, idempotency_key semantics, or why max_total_price is pinned to a constant.

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 description names a specific verb and resource ('Audit candidate optimization equivalence and qualitative coupling preservation'), which is more concrete than a restated title. However, 'qualitative coupling preservation' is opaque jargon, and nothing distinguishes it from close siblings such as quantum_supported_circuit_equivalence_v1, compare_quantum_circuits, or audit_quantum_transformation.

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?

No when-to-use or when-not-to-use guidance is given, and no alternative sibling is named. An agent facing several equivalence/comparison tools has no basis in the description for choosing this one.

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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