Skip to main content
Glama

create_virtual_key

Securely store provider API keys by creating virtual keys for services like OpenAI, Anthropic, Azure OpenAI, and Google. Manage access with name, workspace, credit limits, and rate controls.

Instructions

Create a new virtual key for a provider (e.g., openai, anthropic). Virtual keys securely store provider API keys.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesDisplay name for the virtual key
providerYesProvider slug (e.g., 'openai', 'anthropic', 'azure-openai', 'google')
keyYesThe actual provider API key to store
noteNoOptional note or description for this key
workspace_idNoWorkspace ID to create the key in
api_versionNoAPI version (for Azure OpenAI)
resource_nameNoResource name (for Azure OpenAI)
deployment_nameNoDeployment name (for Azure OpenAI)
credit_limitNoCredit limit for usage
alert_thresholdNoAlert threshold percentage (0-100)
rate_limit_rpmNoRate limit in requests per minute
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool 'securely store[s] provider API keys', hinting at security aspects, but lacks details on permissions required, whether the operation is idempotent, error handling, or what happens on success/failure. For a creation tool with 11 parameters, this is insufficient.

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 a single, clear sentence that efficiently states the tool's purpose. It avoids redundancy and is appropriately sized, though it could be more front-loaded with critical usage details given the tool's complexity.

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 (11 parameters, creation operation) and lack of annotations or output schema, the description is inadequate. It doesn't cover behavioral aspects like security implications, error conditions, or response format, leaving significant gaps for an AI agent to understand how to use it effectively.

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 fully documents all 11 parameters. The description adds no parameter-specific information beyond implying the tool handles provider API keys. It doesn't explain relationships between parameters (e.g., Azure-specific ones) or usage nuances, so it meets the baseline for high schema coverage.

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

Purpose4/5

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

The description clearly states the action ('Create a new virtual key') and resource ('for a provider'), with examples of providers like 'openai' and 'anthropic'. It distinguishes the tool's purpose from siblings like 'create_api_key' by specifying it's for provider API keys, though it doesn't explicitly contrast with all siblings.

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 like 'create_api_key' or 'update_virtual_key'. It mentions that virtual keys 'securely store provider API keys', which implies a use case, but offers no explicit when/when-not instructions or prerequisites for usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/s-b-e-n-s-o-n/portkey-admin-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server