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create_integration

Set up connections to AI providers like OpenAI, Anthropic, or Azure OpenAI by configuring API keys and provider-specific settings.

Instructions

Create a new integration with an AI provider (e.g., OpenAI, Anthropic, Azure OpenAI, AWS Bedrock)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesHuman-readable name for the integration
ai_provider_idYesID of the AI provider (e.g., 'openai', 'anthropic', 'azure-openai', 'aws-bedrock', 'vertex-ai')
slugNoURL-friendly identifier (auto-generated from name if not provided)
keyNoAPI key for the provider (if required)
descriptionNoOptional description of the integration
workspace_idNoWorkspace ID for workspace-scoped integrations
api_versionNoAPI version (for Azure OpenAI)
resource_nameNoResource name (for Azure OpenAI)
deployment_nameNoDeployment name (for Azure OpenAI)
aws_regionNoAWS region (for AWS Bedrock)
aws_access_key_idNoAWS access key ID (for AWS Bedrock)
aws_secret_access_keyNoAWS secret access key (for AWS Bedrock)
vertex_project_idNoGCP project ID (for Vertex AI)
vertex_regionNoGCP region (for Vertex AI)
custom_hostNoCustom base URL for the provider
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions 'create' implies a write operation but doesn't specify required permissions, whether this is idempotent, what happens on duplicate names, or what the response contains. For a 15-parameter creation tool with no annotations, this is insufficient behavioral context.

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, efficient sentence that communicates the core purpose with relevant examples. It's appropriately sized and front-loaded with no wasted words or unnecessary elaboration.

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?

For a complex creation tool with 15 parameters, no annotations, and no output schema, the description is inadequate. It doesn't explain what an 'integration' represents in this system, what happens after creation, error conditions, or authentication requirements. The description should provide more context given the tool's complexity and lack of structured metadata.

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 already documents all 15 parameters thoroughly. The description adds minimal value beyond the schema by mentioning example providers, but doesn't explain parameter relationships, conditional requirements, or provider-specific parameter groupings. Baseline 3 is appropriate when schema does the heavy lifting.

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 specific action ('create') and resource ('integration with an AI provider'), with examples of providers (OpenAI, Anthropic, etc.). It distinguishes from sibling tools like 'create_provider' or 'create_workspace' by focusing on AI provider integrations specifically.

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_provider' or 'update_integration', nor does it mention prerequisites, dependencies, or typical use cases. It simply states what the tool does without contextual usage information.

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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