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provision_mongodb

Provision a MongoDB Atlas cluster with a database and user, supporting free tier (M0) through dedicated clusters. Requires MongoDB Atlas API keys.

Instructions

Create a MongoDB Atlas cluster with database and user. Supports free tier (M0) through dedicated clusters. Requires MongoDB Atlas API keys (public + private).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tierNoCluster tier: M0 (free), M2, M5, M10, M20, M30...M0
orgIdYesMongoDB Atlas Organization ID
dbNameNoInitial database namemain
dbUserNoDatabase username to createapp_user
regionNoRegion (e.g., US_EAST_1, EU_WEST_1, AP_SOUTHEAST_1)US_EAST_1
providerNoCloud provider: AWS, GCP, AZUREAWS
publicKeyYesMongoDB Atlas public API key (Organization Access Manager > API Keys)
dbPasswordNoDatabase password (auto-generated if not provided)
ipAllowAllNoAllow connections from any IP (0.0.0.0/0) - NOT recommended for production
privateKeyYesMongoDB Atlas private API key
clusterNameYesName for the cluster
ipWhitelistNoList of IPs to whitelist (e.g., ['1.2.3.4/32'])
projectNameYesName for the Atlas project
Behavior2/5

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

With no annotations, the description must carry full behavioral disclosure. It only mentions tier support and API key requirement, failing to clarify side effects like cost, resource provisioning time, idempotency, or project creation behavior.

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 sentences, front-loaded with the main action, and no filler. Every word contributes to understanding the tool's purpose and prerequisites.

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?

This is a complex 13-parameter provisioning tool with no output schema or annotations. The description doesn't cover return values, errors, execution time, or cost implications, leaving significant context gaps for an agent to predict behavior.

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 baseline is 3. The description adds minimal parameter context beyond reinforcing that public/private keys are needed. No additional syntax or format details are provided beyond the schema.

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 first sentence clearly states the tool creates a MongoDB Atlas cluster with database and user, which is a specific verb+resource combination. It distinguishes from sibling tools like provision_neon_database by specifying MongoDB Atlas explicitly.

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

Usage Guidelines4/5

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

The description mentions tiers (free to dedicated) and requisite API keys, giving clear context for when this tool is appropriate. However, it doesn't explicitly contrast with alternatives like provision_neon_database or state when not to use it.

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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