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Create addon

addon_create
Destructive

Provision a managed Postgres, Redis, or S3 addon in a Lizard project by specifying project, type, and region; each call creates a new addon and does not update existing ones.

Instructions

Use this when the user wants to provision a managed database or storage addon (Postgres, Redis, or S3) in a Lizard project. Calling this again creates another addon, even with the same name — it does not update an existing one.

Input Schema

NameRequiredDescriptionDefault
nameNoStable reference key for ${{name.KEY}} templates
typeYes
regionYesDeployment region code — call region_list first if unsure of valid values, do not guess
projectYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true and idempotentHint=false, so the safety profile is covered. The description adds real value beyond that by spelling out the concrete consequence — calling again silently creates a duplicate with the same name — which is exactly the failure mode an agent would otherwise hit. It omits cost implications and whether the addon can be removed later.

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 trigger condition, and every clause earns its place — including the duplicate-creation warning, which is the highest-value line in the definition.

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?

A destructive, non-idempotent provisioning call with no output schema and 50% param coverage warrants more: how the agent retrieves connection details afterward (secrets_refs? service_show?), what happens on partial failure, and whether duplicates can be cleaned up are all unaddressed. The trigger and duplicate warning are solid, but the post-creation story is missing.

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 50%: name and region are documented in-schema (region even includes a 'call region_list first, do not guess' directive), while project is undocumented. The description only restates the type enum values and adds nothing about project scoping or name reuse rules — one sentence on what 'project' accepts would have compensated for the gap.

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?

States a specific verb + resource: 'provision a managed database or storage addon (Postgres, Redis, or S3) in a Lizard project.' That clearly separates it from nearby siblings like volume_create and service_create, though it never names those alternatives 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?

'Use this when the user wants to provision...' gives a clear trigger condition, and the second sentence rules out a tempting misuse ('it does not update an existing one'). No named alternative for updating or looking up an existing addon, so it stops short of a full when/when-not map.

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