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BEON PASS

railway_restore_volume_backup

Destructive

Restore a volume backup. Can replace newer data and interrupt service.

Input Schema

NameRequiredDescriptionDefault
approval_idNo
beon_app_idNo
beon_contextNo
beon_resume_idNo
beon_release_idNo
beon_environmentNo
volumeInstanceIdYes
beon_connection_idNo
volumeInstanceBackupIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true and idempotentHint=false, but the description adds concrete impact detail the annotations cannot convey: newer data can be overwritten and live service can be interrupted. That is meaningful added context for a destructive operation, though it stops short of discussing irreversibility windows or rollback.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

Two short sentences with zero filler, and the core action is front-loaded before the warning. It is efficient, though for a 9-parameter destructive tool the extreme brevity is as much under-specification as conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists and the safety profile is annotation-covered, but the description omits any guidance on the required volumeInstanceId/volumeInstanceBackupId pairing, the approval_id mechanism, or the beon_* context parameters. For a destructive 9-param tool, an agent is left without the information needed to invoke it correctly.

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

Parameters1/5

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

There are 9 parameters with 0% schema description coverage, including an unexplained approval_id and a set of beon_* context fields. The description says nothing about any parameter, so it fails entirely to compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Restore a volume backup'), which is enough to distinguish it from most siblings. It does not, however, differentiate itself from the closely related railway_restore_volume_pitr or railway_list_volume_backups, leaving the agent to infer which restore variant applies.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The second sentence is a hazard warning ('Can replace newer data and interrupt service'), not usage guidance. There is no statement of when to prefer this over railway_restore_volume_pitr, what preconditions are needed, or whether an approval flow is required.

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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