railway_list_volumes
List volume metadata in a project.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| projectId | Yes | ||
| approval_id | No | ||
| beon_app_id | No | ||
| beon_context | No | ||
| beon_resume_id | No | ||
| beon_release_id | No | ||
| beon_environment | No | ||
| beon_connection_id | No |
List volume metadata in a project.
| Name | Required | Description | Default |
|---|---|---|---|
| projectId | Yes | ||
| approval_id | No | ||
| beon_app_id | No | ||
| beon_context | No | ||
| beon_resume_id | No | ||
| beon_release_id | No | ||
| beon_environment | No | ||
| beon_connection_id | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is fully covered by structured data. The description's only additional signal is the word 'metadata', implying it returns descriptive attributes rather than volume contents or backups — modest added value on top of rich annotations.
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?
A single front-loaded sentence with zero filler, which is structurally clean. The brevity is efficient rather than padded, though it shades into under-specification for an 8-parameter tool.
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 tool with 8 parameters, 0% schema coverage, two enums, and no output schema, one sentence is not sufficient. An agent gets no explanation of the beon_* context/approval parameters, no scoping detail (project-only vs. environment/service filtering), and no hint about the shape of the returned volume metadata.
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 0% across 8 parameters, so the description carries the full explanatory burden and does not meet it. It only loosely implies the required projectId via 'in a project'; the seven beon_* parameters (approval_id, beon_app_id, beon_context, beon_resume_id, beon_release_id, beon_environment, beon_connection_id) are never mentioned or explained.
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?
States a specific verb ('List') and resource ('volume metadata') scoped to 'a project', so the core operation is unambiguous. However, it does nothing to distinguish itself from close siblings such as railway_list_volume_backups or railway_list_volume_instances, which an agent could easily confuse with this tool.
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?
There is no guidance on when to use this tool versus railway_list_volume_instances, railway_list_volume_backups, or railway_get_service. No prerequisites, no exclusions, no mention of what 'volume metadata' excludes (e.g., mount info, backups).
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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