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validate_configuration

Verify that a host's live state matches the expected configuration after apply, ensuring changes were correctly deployed.

Instructions

Verify that actual host configuration matches expected configuration after apply.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
host_idNoHost identifier (optional, auto-detected from adapter if omitted)
workspaceNoWorkspace directory path (defaults to current working directory)
preview_idNoPreview ID to extract expected configuration from if omitted
expected_configNoExpected configuration object to validate against actual host state

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
validYesWhether configuration is valid
detailsNoValidation details
messageYesValidation outcome message
workspaceYesWorkspace path validated

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. The verb 'verify' suggests a read-only operation, but the description does not explicitly state that no changes are made, whether a mismatch causes an error or returns a report, or any prerequisites beyond 'after apply'.

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?

Single sentence, front-loaded with the action verb, no filler or redundant detail. It communicates the essential purpose in minimal words.

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

Completeness3/5

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

The presence of an output schema and fully documented parameters reduces the burden on the description. However, with no annotations, the description omits side-effect and error-handling behavior, which an agent would need for confident invocation in a mutation-related workflow.

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

Parameters3/5

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

Schema description coverage is 100%, so the input schema already documents all four parameters clearly. The tool description adds no additional parameter meaning, which matches the baseline of 3 for full coverage.

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?

Description uses a specific verb ('Verify') and resource ('actual host configuration'), and clarifies the goal is comparing against expected configuration. The phrase 'after apply' distinguishes it from preview/apply siblings, though it does not name them explicitly.

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

Usage Guidelines3/5

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

The temporal condition 'after apply' gives implied usage context — this is the post-apply validation step. However, it does not explicitly mention alternatives, when not to use it, or how it relates to preview_configuration or inspect_host.

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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