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create_connection

Create a new data connection by specifying a name, type, and configuration details such as host and credentials.

Instructions

Create a new data connection.

Requires --allow-write.

Args: name: Human-readable name for the connection. connection_type: One of the supported types (e.g. 'postgres', 'mysql', 'stripe'). config: Connection-specific configuration (host, port, credentials, etc.).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
configYes
connection_typeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided; description carries full burden. It indicates a write operation via 'Requires --allow-write' and describes creation, which implies side effects. However, it lacks details on what exactly happens server-side, error conditions, or outcomes beyond the returned object (covered by output schema).

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?

Extremely concise: two sentences and an Args list. Front-loaded with purpose statement. Every sentence adds value; no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers purpose, parameters, and authorization. With an output schema available, return value documentation is not needed. Does not mention idempotency or behavior on duplicate names, but overall sufficient for a creation tool.

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

Parameters4/5

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

Schema description coverage is 0%, so description must explain parameters. It does so clearly: name (human-readable), connection_type (with examples), config (connection-specific settings including typical fields). This adds significant meaning beyond the bare schema types.

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?

Clearly states 'Create a new data connection', which is a specific verb-resource pair. Distinguishes from sibling tools like create_transformation that operate on different resources.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Notes the authorization requirement ('Requires --allow-write'), providing a usage condition. However, it does not specify when to use this tool instead of alternatives, nor any context about prerequisites or typical scenarios.

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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