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allkindsxyz

Railway MCP Server

by allkindsxyz

update_service_variable

Update or create environment variables for Railway services to configure application settings and manage deployment configurations.

Instructions

Update or create an environment variable for a service

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
serviceIdYesThe Railway service ID
nameYesThe environment variable name
valueYesThe environment variable value
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('Update or create') but lacks critical details like whether this requires specific permissions, if changes are reversible, potential side effects (e.g., service restarts), or rate limits. This is inadequate for a mutation tool with zero annotation coverage.

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 a single, efficient sentence that front-loads the core purpose without unnecessary words. Every part earns its place by clearly stating the action and resource, making it easy to parse quickly.

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?

Given the complexity of a mutation tool with no annotations and no output schema, the description is incomplete. It fails to address behavioral aspects like permissions, side effects, or response format, leaving significant gaps for an AI agent to understand how to use this tool effectively in context.

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 schema already documents all three parameters (serviceId, name, value) with clear descriptions. The description adds no additional meaning beyond implying the parameters relate to environment variables, which is already evident from the schema. Baseline 3 is appropriate when the schema does the heavy lifting.

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?

The description clearly states the action ('Update or create') and resource ('environment variable for a service'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'delete_service_variable' beyond the obvious action difference, missing explicit scope or context distinctions.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives, such as when to update versus create, or how it relates to siblings like 'delete_service_variable' or 'redeploy_service'. There are no prerequisites, exclusions, or contextual hints 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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