deploy_to_railway

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

There are no annotations, so the description must disclose behavioral traits. It mentions the API token requirement and that 'Railway handles the full stack,' but does not explain whether the deployment is destructive, creates a new project or updates existing, what the success/failure output looks like, or any side effects on the local project. The mutation nature is only implicit via the word 'deploy.'

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, front-loaded with the primary action, and every clause adds useful information. It avoids redundancy and is appropriately sized for the tool's complexity.

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

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

This is a complex tool with 9 parameters, nested objects, no annotations, and no output schema. The description only covers the high-level purpose and token requirement, leaving significant gaps around deployment workflow, return values, error scenarios, and how it interacts with existing Railway projects. It is not complete enough for an agent to invoke confidently without further assumptions.

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

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 value beyond schema: it groups 'PostgreSQL, Redis, MongoDB' as optional plugins, aligning with the boolean parameters, and highlights the token requirement. No additional syntax or edge-case semantics are provided.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Deploy a project to Railway with optional database plugins.' This specifies the verb (deploy), the resource (project to Railway), and unique features (database plugins), distinguishing it from sibling tools like deploy_to_vercel and deploy_local.

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

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

The description provides clear context by naming the target platform (Railway) and optional plugins, implying when it should be used. It does not explicitly exclude alternatives or mention when not to use it, but the platform-specific focus gives sufficient guidance for typical selection scenarios.

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