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service_info

Retrieve detailed configuration, deployment status, and health metrics for a specific service in Railway projects to monitor and manage infrastructure.

Instructions

[API] Get detailed information about a specific service

⚡️ Best for: ✓ Viewing service configuration and status ✓ Checking deployment details ✓ Monitoring service health

→ Prerequisites: service_list

→ Next steps: deployment_list, variable_list

→ Related: service_update, deployment_trigger

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesID of the project containing the service
serviceIdYesID of the service to get information about
environmentIdYesID of the environment to check (usually obtained from service_list)
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 describes the tool's purpose as a read-only informational tool ('Get detailed information'), which implies non-destructive behavior. However, it doesn't explicitly mention rate limits, authentication requirements, or error handling, leaving some behavioral aspects unspecified.

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 well-structured and front-loaded with the core purpose, followed by organized sections (Best for, Prerequisites, Next steps, Related). Every sentence adds value without redundancy, making it efficient and easy to parse.

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?

Given the tool's moderate complexity (3 required parameters) and lack of annotations/output schema, the description provides strong contextual guidance on usage, prerequisites, and next steps. However, it doesn't describe the return format or potential error cases, which would be helpful for a tool with no output schema.

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 input schema has 100% description coverage, providing clear documentation for all three parameters. The description doesn't add any parameter-specific information beyond what's in the schema, so it meets the baseline expectation. However, it doesn't compensate for any gaps since there are none.

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's purpose with a specific verb ('Get detailed information') and resource ('about a specific service'). It distinguishes from siblings like service_list (which lists services) and service_update (which modifies services) by focusing on retrieving detailed information for a single service.

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 on when to use this tool ('Best for: Viewing service configuration and status, Checking deployment details, Monitoring service health'), prerequisites ('Prerequisites: service_list'), next steps ('Next steps: deployment_list, variable_list'), and related alternatives ('Related: service_update, deployment_trigger'). This comprehensive guidance helps the agent choose this tool appropriately.

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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