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runpod

RunPod MCP Server

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by runpod

create-template

Creates a reusable pod or endpoint template to define image, ports, environment variables, disk, and volume settings.

Instructions

Create a reusable pod/endpoint template (image, ports, env, disk/volume). On v2 a category is required and defaults to NVIDIA.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
envNoEnvironment variables
nameYesName for the template
portsNoPorts to expose
readmeNoREADME content in markdown format
categoryNoHardware category for the template. On v2 a category is required and defaults to NVIDIA when omitted — set CPU or AMD for non-NVIDIA templates so they are not mis-categorized.
imageNameYesDocker image to use
volumeInGbNoVolume size in GB
isServerlessNoIs this a serverless template
dockerStartCmdNoDocker start commands
volumeMountPathNoPath to mount the volume
dockerEntrypointNoDocker entrypoint commands
containerDiskInGbNoContainer disk size in GB
containerRegistryAuthIdNoID of a container registry credential (from create-container-registry-auth / list-container-registry-auths) used to pull a private image. Required when imageName points at a private registry; without it serverless workers fail the image pull.
Behavior3/5

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

Annotations indicate mutation (readOnlyHint=false), and the description adds a behavioral detail about category defaulting in v2. However, no mention of side effects, return values, or required permissions. The description provides some added context but not comprehensive.

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?

Two concise sentences: first states purpose and components, second adds important version-specific behavior. No fluff or redundancy.

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 tool's complexity (13 parameters, no output schema, mutation), the description lacks information about return values (e.g., template ID) and error conditions. It provides a basic overview but misses some context needed for full understanding.

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 coverage is 100% with detailed parameter descriptions. The tool description summarizes key parameters but does not add new meaning beyond what the schema already provides.

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 tool creates a reusable pod/endpoint template and lists its components (image, ports, env, disk/volume). It distinguishes from sibling tools like update-template or delete-template.

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 explicit guidance on when to use this tool vs alternatives like create-pod or update-template. No exclusionary language or prerequisites. The v2 note is a detail but not usage guidance.

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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