Railway MCP Server

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 and use cases but lacks details on potential side effects, authentication requirements, rate limits, or error conditions. The description doesn't contradict any annotations (none exist), but for a read operation with no annotation coverage, it provides only basic behavioral context.

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 well-structured and efficiently organized with clear sections (purpose, best for, prerequisites, next steps, related tools). Every sentence adds value without redundancy, and the information is front-loaded with the core purpose stated first. The use of bullet points and symbols enhances readability without adding fluff.

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?

For a read-only tool with 3 parameters and 100% schema coverage but no output schema, the description provides strong contextual completeness. It clearly explains the tool's purpose, use cases, and workflow relationships. The main gap is the lack of output information (since no output schema exists), but the description compensates well with comprehensive usage guidance and sibling tool references.

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%, with all three parameters (projectId, serviceId, environmentId) clearly documented in the schema. The description doesn't add any parameter-specific information beyond what the schema provides, such as format examples or relationship details between parameters. This meets the baseline expectation when schema coverage is complete.

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 with a specific verb ('Get detailed information') and resource ('about a specific service'). It distinguishes itself from siblings like service_list (which lists services) and service_update (which modifies services) by focusing on retrieving detailed configuration, status, and health data 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.

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 understand the tool's context and workflow integration.

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