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captenmasin

Laravel Cloud MCP Server

by captenmasin

Create instance

laravel_cloud_create_instance

Create a new service or managed queue instance for a Laravel Cloud environment, with configurable size, scaling, and background processes.

Instructions

Create a new instance (service or managed queue) for an environment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesInstance name.
sizeYesInstance size. Use laravel_cloud_list_instance_sizes to discover values.
typeYesInstance type.
environmentYesEnvironment ID.
max_replicasNoMaximum replicas (custom scaling).
min_replicasYesMinimum replicas (custom scaling).
scaling_typeYesScaling strategy.
sleep_with_appNoScale worker replicas to zero alongside the app.
uses_schedulerNoRun the Laravel scheduler on this instance.
polling_intervalYesManaged queue polling interval in seconds.
shutdown_timeoutYesShutdown timeout in seconds.
visibility_timeoutYesManaged queue visibility timeout in seconds.
background_processesNoBackground processes to run on this instance.
scaling_cpu_threshold_percentageNoCPU threshold for auto-scaling.
scaling_memory_threshold_percentageNoMemory threshold for auto-scaling.
Behavior3/5

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

The description is consistent with annotations (readOnlyHint=false indicates write operation). However, it adds no behavioral context beyond the basic action, such as side effects or required permissions. Annotations already provide some baseline, so a score of 3 is appropriate.

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

Conciseness5/5

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

The description is a single, concise sentence that is front-loaded with the main action and resource. No redundant information is present.

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?

Given the tool's complexity (15 parameters, 9 required, no output schema), the description is too brief. It omits context about the creation process, constraints, or expected behavior, which could hinder correct use.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema documents all parameters. The description does not add additional meaning beyond the schema, meeting the baseline expectation.

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 verb 'Create' and the resource 'instance', specifying the types as 'service or managed queue'. This distinguishes it from sibling tools like list, get, update, and delete instances.

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 alternatives, nor does it mention prerequisites (e.g., needing an environment or instance sizes) or conditions for use.

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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