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barvhaim

Qiskit MCP Server

by barvhaim

optimize_circuit

Optimize quantum circuits by applying transpiler passes with adjustable optimization levels (0-3) to reduce gate count and depth.

Instructions

Optimize a quantum circuit using Qiskit transpiler passes.

Args: circuit_name: Name of the circuit to optimize optimization_level: Optimization level (0-3, where 0 is no optimization)

Returns: Success message with optimization results and new circuit name

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
circuit_nameYes
optimization_levelNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries full burden. It states optimization via transpiler passes but does not disclose side effects (e.g., whether original circuit is modified), details on transpilation passes, or what optimization_levels entail beyond 0-3. The return message mentions 'optimization results' but lacks specifics.

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 description is concise, using a single sentence and clear parameter list. It is front-loaded with the main purpose and avoids unnecessary detail. However, the main sentence could be more structured (e.g., using bullet points for clarity).

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?

Given the complexity of circuit optimization, the description covers basic purpose and parameters but lacks prerequisites, error conditions, and details on what 'optimization results' include. The presence of an output schema reduces the burden for return values, but overall completeness is adequate with gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so description adds important context: circuit_name is the circuit to optimize, optimization_level ranges 0-3 with 0 meaning no optimization. This adds meaning beyond the schema's type and default. However, it does not explain what each level does in terms of passes.

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

Purpose5/5

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

The description clearly states the action (optimize), resource (quantum circuit), and method (using Qiskit transpiler passes). It distinguishes from sibling tools like run_circuit or create_quantum_circuit by specifying optimization. The parameter descriptions further clarify its purpose.

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 provides no guidance on when to use this tool versus siblings, no prerequisites (e.g., circuit must exist), and no conditions for use. It does not mention alternatives or when optimization is appropriate.

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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