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orchestrate_deploy

Orchestrate full-stack deployment across Vercel, Neon, Railway, MongoDB, or Docker, provisioning databases and connecting environment variables automatically.

Instructions

Orchestrate a full-stack deployment combining multiple services. Targets: vercel+neon, vercel+mongodb, railway-fullstack, docker-local, local. Provisions databases and deploys apps with all environment variables connected automatically.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
portNoPort for local deployments
targetYesDeployment target combination: vercel+neon (frontend on Vercel, PostgreSQL on Neon), vercel+mongodb (frontend on Vercel, MongoDB Atlas), railway-fullstack (everything on Railway), docker-local (Docker containers locally), local (native local dev server)
tokensYesAPI tokens for the services being used
envVarsNoAdditional environment variables
dbSchemaNoPath to database schema file (.sql or migration)
productionNoProduction deployment
projectNameYesName for the project across services
projectPathYesAbsolute path to the project
Behavior2/5

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

With no annotations provided, the description must carry the full burden. It only states high-level outcomes (provisions databases, deploys apps, connects env vars) but does not disclose side effects, prerequisites, reversibility, or failure behavior. For a powerful orchestration tool, this is a significant gap.

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 two sentences long, front-loaded with the primary action, and lists targets compactly. It avoids redundancy with the schema and every sentence contributes meaningful information.

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?

The tool is complex (8 params, nested objects, no output schema), but the schema descriptions fill in most parameter details. The description provides a useful overview but lacks guidance on preconditions, return values, or edge cases (e.g., token requirements, project structure), leaving some context gaps.

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?

The schema already provides 100% coverage with descriptive text for every parameter, including the 'target' enum and 'tokens' object. The description adds only a general statement about automatic env var connection, not specific parameter-level semantics, so it remains at the baseline.

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 orchestrates full-stack deployments combining multiple services, and it explicitly lists target combinations (vercel+neon, etc.), distinguishing it from sibling tools that handle individual deployments or database provisioning.

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 implies usage when a combined, multi-service deployment is needed, as evidenced by 'combining multiple services' and the target list. It does not explicitly name alternative tools, but the context is clear enough compared to siblings.

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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