Submit an RQM Studio job
submit_quantum_jobReserve an exact quote and submit one bounded managed-simulator job.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
submit_quantum_jobReserve an exact quote and submit one bounded managed-simulator job.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare this is a write (readOnlyHint false), safe (destructiveHint false), idempotent, and closed-world. The description adds that a quote must be reserved and that the job is bounded and managed-simulator scoped, which is real behavioral context beyond annotations, though it omits auth, cost, and rate-limit details.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence beginning with the action and state change, with no filler. It is appropriately terse given the rich schema and annotations.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Core purpose and a key prerequisite are stated, and the output schema plus annotations carry return and safety details. However, the description does not explain the three anyOf schema variants or clarify that capability_id accepts many values beyond managed-simulator-v1, leaving an agent to rely entirely on the schema for that complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
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 parameters. The description only indirectly signals quote_id ('exact quote') and capability_id ('managed-simulator'), adding little meaning beyond the structured fields.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb ('submit') and resource ('job'), with scope ('one bounded managed-simulator job') and a prerequisite ('Reserve an exact quote'). This distinguishes it from the batch sibling submit_wave_job via 'one' and from run_buyer_job, though it does not explicitly name alternatives.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Signals an implied prerequisite—reserving a quote—which maps conceptually to the sibling quote_job, but never states when to use this tool versus run_buyer_job or submit_wave_job, nor any exclusions. Usage is inferable but not explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.