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WAI Quantum job service

What the quantum service can do

quantum_service_info
Read-only

The methods with their qubit limits and what each answers, the accuracy classes, the per-client limits, the current load, how jobs are kept and metered, the receipt keys, and the conventions (bit order, Pauli strings).

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

readOnlyHint=true already tells the agent this is a safe read, so the bar is lower. The mention of 'the current load' does add a useful behavioral signal that some returned data is live/dynamic rather than static docs. Beyond that, the sentence is essentially a table of contents for a response that the output schema already enumerates, so it adds little.

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?

A single sentence of manageable length, but it is one long comma-separated list with no lead-in stating what the tool does. Front-loading a clause like 'Returns reference documentation for the service:' would let the rest earn its place as elaboration rather than being the entire payload.

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 is present and there are no parameters, so the description only needs to convey purpose and call timing. It conveys content but not timing or purpose framing, leaving an agent unsure whether this is a required orientation step before other tools.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The description correctly implies no input is needed.

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 is a noun-phrase inventory ('The methods with their qubit limits..., the accuracy classes, the per-client limits...') rather than a verb+resource statement. It's inferable that the tool returns service documentation, but the agent must read the whole list and the title to reach that conclusion. The enumerated contents are specific enough to distinguish it from task-oriented siblings like estimate_resources or run_on_target.

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 guidance on when to call this versus the many task-specific siblings. There's no statement like 'call this first to learn available methods and units' or 'consult before estimate_resources to interpret accuracy classes,' so the agent gets no routing help.

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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