MIT
Agentled MCP Server
by Agentled
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TDQS
A3.7/5.0
Scored across 40 tools
Disambiguation4/5
Most tools have distinct purposes with clear boundaries, such as chat for conversation, create_workflow for building, and get_workflow for retrieval. However, some overlap exists between tools like get_execution and get_timeline, which both retrieve execution details, and between update_workflow and update_step, which could cause confusion about when to use each for modifications.
Naming Consistency5/5
Tool names follow a highly consistent verb_noun pattern throughout, such as create_workflow, delete_workflow, list_workflows, and get_workflow. This predictability makes it easy for agents to understand and navigate the toolset without ambiguity in naming conventions.
Tool Count2/5
With 40 tools, the count is excessive for the workflow management domain, leading to potential cognitive overload and redundancy. While the server covers many operations, a more streamlined set of 15-25 tools would likely suffice without sacrificing functionality, making this overly heavy for typical agent use.
Completeness5/5
The toolset provides comprehensive coverage for workflow management, including full CRUD operations (create, read, update, delete), execution control (start, stop, retry), import/export capabilities, testing tools, and knowledge graph interactions. No significant gaps are apparent, ensuring agents can handle end-to-end workflows effectively.
Maintenance
ActivityMaintained
ResponsivenessUnresponsive