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variable_bulk_set

Create or update multiple environment variables simultaneously to migrate configurations, set up services, or apply bulk updates in Railway projects.

Instructions

[WORKFLOW] Create or update multiple environment variables at once

⚡️ Best for: ✓ Migrating configuration between services ✓ Initial service setup ✓ Bulk configuration updates

⚠️ Not for: × Single variable updates (use variable_set) × Temporary configuration changes

→ Prerequisites: service_list

→ Alternatives: variable_set

→ Next steps: deployment_trigger, service_restart

→ Related: variable_list, service_update

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesID of the project containing the service
environmentIdYesID of the environment for the variables (usually obtained from service_list)
variablesYesObject mapping variable names to values
serviceIdNoOptional: ID of the service for the variables, if omitted updates shared variables)
Behavior4/5

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 effectively communicates that this is a mutation tool ('Create or update'), specifies prerequisites, and hints at operational context by linking to 'deployment_trigger' and 'service_restart' as next steps. However, it lacks details on permissions, error handling, or rate limits.

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

Conciseness4/5

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

The description is well-structured with bullet points and icons, making it easy to scan. It is appropriately sized, with each section adding value, though the 'Related' section could be slightly trimmed as it overlaps with sibling context. Overall, it is efficient and front-loaded with key information.

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

Completeness4/5

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

For a mutation tool with no annotations and no output schema, the description does a good job covering purpose, usage, and prerequisites. It links to relevant tools and next steps, providing operational context. However, it could improve by detailing output behavior or error scenarios, given the complexity of bulk operations.

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 description coverage is 100%, so the schema already documents all parameters thoroughly. The description does not add any parameter-specific semantics beyond what the schema provides, such as explaining variable naming conventions or value formats. It meets the baseline for high schema coverage.

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 specific action ('Create or update multiple environment variables at once') and distinguishes it from sibling tools by explicitly mentioning 'variable_set' as an alternative for single variable updates. It identifies the resource (environment variables) and scope (bulk operations).

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

Usage Guidelines5/5

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

The description provides explicit guidance with dedicated 'Best for' and 'Not for' sections, naming specific use cases (migrating configuration, initial setup, bulk updates) and exclusions (single variable updates, temporary changes). It also lists prerequisites (service_list), alternatives (variable_set), and related tools, offering comprehensive usage context.

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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