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bultcloud

bult-mcp-server

Official
by bultcloud

create-service

Create daemon apps from GitHub or Docker, and database services (PostgreSQL, Redis, MySQL, MongoDB) for Bult projects.

Instructions

Create a Bult.ai service. Supports daemon apps from a GitHub repository or Docker image, plus PostgreSQL, Redis, MySQL, and MongoDB database services.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesThe project ID
nameYesService name (lowercase, alphanumeric with hyphens/underscores)
configYesBult service configuration with 'kind' (daemon/database), 'deploy' settings (box_id, source_type: git/docker), and optionally environment variables, ports, files, and deployment metadata
Behavior2/5

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

No annotations are provided, so the description must disclose behavior. It only states creation, missing side effects, permissions, idempotency, or error conditions. Significant gaps remain.

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 concise sentences, front-loaded with core action. No redundant or verbose content.

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?

For a complex creation tool with nested config and no output schema, the description is adequate but lacks return behavior, validation rules, or prerequisites. It sufficiently introduces the main purpose but leaves gaps.

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 100%, setting baseline at 3. The description adds value by explaining config supports 'kind' (daemon/database), 'deploy' settings (git/docker), exceeding schema detail for that parameter.

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 tool creates a Bult.ai service, specifying supported types (daemon apps from GitHub/Docker, and database services). This distinguishes it from sibling tools like create-project or create-volume.

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?

The description implies usage for creating services but provides no explicit guidance on when to choose daemon vs database, or alternatives among siblings. No when-not-to-use or prerequisites are mentioned.

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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