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 communicates the tool's purpose as a read-only discovery operation ('List all available database types'), implying no destructive actions. However, it lacks details on potential limitations like rate limits or authentication requirements, which would be beneficial for a 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.

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

The description is well-structured and front-loaded with the core purpose in the first sentence. Each subsequent section ('Best for', 'Not for', 'Alternatives', etc.) adds specific value without redundancy. The use of symbols (⚡️, ✓, ⚠️, ×, →) enhances readability without wasting space.

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?

Given the tool's simplicity (0 parameters, no output schema, no annotations), the description is largely complete. It clearly explains the tool's purpose, usage, and context. However, without an output schema, it could benefit from briefly mentioning the expected return format (e.g., a list of database type names), though this is a minor gap for a discovery tool.

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?

The tool has 0 parameters with 100% schema description coverage, so the schema fully documents the absence of inputs. The description adds value by clarifying the scope ('database types that can be deployed using Railway's official templates'), which isn't captured in the schema. This compensates well, though it doesn't need to explain parameters since there are none.

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 specific action ('List all available database types') and the resource ('database types that can be deployed using Railway's official templates'). It distinguishes itself from sibling tools like 'database_deploy_from_template' by focusing on discovery rather than deployment.

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 with 'Best for' and 'Not for' sections, clearly indicating when to use this tool (e.g., 'Discovering supported database types') and when not to (e.g., 'Listing existing databases'). It also names alternatives ('service_create_from_image') and related tools ('database_deploy'), 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.