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Supported circuit equivalence

quantum_supported_circuit_equivalence_v1
Idempotent

Problem: Compare two RQM Circuit IR circuits within the supported verifier scope. Input: JSON with original circuit, candidate circuit. Result: equivalent, not-equivalent, or unsupported verdict, verification evidence, input.... Limits: Local software evidence only; 3 verification qubits; 65536 request bytes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestYes
schema_versionYes
idempotency_keyYes
max_total_priceYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations declare readOnlyHint=false, idempotentHint=true, destructiveHint=false, and the description adds concrete operational limits (local software evidence only, 3 verification qubits, 65536 request bytes), which are real value beyond the annotations. However, it omits the paid-job semantics implied by the required max_total_price and idempotency_key, and says nothing about latency or evidence format.

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

Conciseness4/5

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

The Problem/Input/Result/Limits layout is well front-loaded and compact for the amount of content. It loses a point for the truncated 'input....' fragment, which reads as unfinished rather than concise.

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?

An output schema exists, so return values need not be re-explained, and the verdict/evidence framing is adequate. Still, for a 4-parameter paid job tool with nested request objects and zero schema descriptions, the definition leaves the agent guessing about request envelope fields and pricing.

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% for four required parameters, so the description carries the full burden. It only explains the nested 'request' content (original and candidate circuit) and leaves schema_version, idempotency_key, and the fixed max_total_price price cap entirely unaddressed.

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?

States a specific verb+resource ('Compare two RQM Circuit IR circuits') plus a qualifier ('within the supported verifier scope') that separates it from broader siblings like compare_quantum_circuits. It does not name any sibling directly, so differentiation is inferable rather than explicit.

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

Usage Guidelines3/5

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

The phrase 'within the supported verifier scope' and the 'unsupported' verdict imply when this tool applies, but there is no explicit when-to-use/when-not guidance relative to the many sibling comparison tools (compare_quantum_circuits, quantum_two_qubit_local_equivalence_v1, quantum_simulation_result_compare_v1).

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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