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volume_list

List all persistent storage volumes in a Railway project to view configurations, manage data storage, and audit usage.

Instructions

[API] List all volumes in a project

⚡️ Best for: ✓ Viewing persistent storage configurations ✓ Managing data volumes ✓ Auditing storage usage

→ Prerequisites: project_list

→ Next steps: volume_create

→ Related: service_info, database_deploy

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesID of the project to list volumes for
Behavior3/5

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 mentions the tool is for 'viewing persistent storage configurations' and 'auditing storage usage' which implies read-only behavior, but doesn't explicitly state whether this is a safe read operation, what permissions are required, or describe pagination/rate limiting. It adds some context but leaves behavioral gaps.

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 appropriately sized. It begins with the core purpose, uses bullet points for use cases, and includes prerequisite/next step information efficiently. Every section adds value without redundancy or unnecessary elaboration.

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 simple list tool with no output schema and no annotations, the description provides good contextual coverage. It explains the tool's purpose, when to use it, prerequisites, and related tools. The main gap is lack of output format information, but given the tool's simplicity and clear purpose, the description is reasonably complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% with only one parameter (projectId) fully documented in the schema. The description doesn't add any parameter-specific information beyond what the schema provides, but with minimal parameters and complete schema coverage, this is acceptable. The baseline for high schema coverage would be 3, but the tool's simplicity and single parameter justify a 4.

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 ('List') and resource ('all volumes in a project'), distinguishing it from siblings like volume_create, volume_delete, and volume_update. The title-like first sentence provides immediate clarity about the tool's function.

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 'Best for' bullet points, prerequisites (project_list), next steps (volume_create), and related tools (service_info, database_deploy). This gives clear context for when to use this tool versus alternatives like service_list or deployment_list.

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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