A
licenseNot graded
qualityC
maintenanceProvides memory and orchestration capabilities to reduce AI waste, enabling recall before re-deriving and parallel task dispatch for any model.
Apache 2.0
RelayPlane
Officialby RelayPlane
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TDQS
A3.9/5.0
Scored across 7 tools
Disambiguation5/5
Each tool has a clearly distinct purpose with no overlap. For example, relay_models_list lists models, relay_run executes a single call, relay_workflow_run executes multi-step workflows, and relay_workflow_validate validates structure without execution. The descriptions reinforce these boundaries, making misselection unlikely.
Naming Consistency5/5
All tools follow a consistent 'relay_' prefix with snake_case naming, using clear verb-noun combinations like list, run, get, and validate. This predictable pattern enhances readability and agent usability across the entire set.
Tool Count5/5
With 7 tools, the set is well-scoped for the AI workflow domain, covering core operations from listing resources to executing and validating runs. Each tool earns its place without feeling excessive or insufficient for the server's purpose.
Completeness4/5
The tool surface provides strong coverage for AI workflow management, including listing, executing, retrieving, and validating runs and models. A minor gap exists in direct update or deletion operations for workflows or runs, but agents can work around this by re-executing or managing externally.
Maintenance
ActivityInactive
ResponsivenessUnresponsive