A
licenseA
qualityB
maintenanceEnables AI agents to recruit real humans for evaluation tasks like surveys, A/B tests, and ratings on text, images, audio, and video, returning aggregated results directly into the conversation.
13
7
MIT
Pebbler MCP
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TDQS
A4.1/5.0
Scored across 7 tools
Disambiguation5/5
Each tool maps to a clearly distinct lifecycle step: catalog discovery, study creation, quote refresh, local recovery, purchase, status polling, and results retrieval. Descriptions explicitly differentiate overlapping terms like quote vs. create and status vs. results.
Naming Consistency5/5
All tool names follow a predictable snake_case verb_noun pattern (get_catalog, create_study, list_local_studies, purchase_study, etc.). The convention is consistent and readable throughout.
Tool Count5/5
Seven tools appropriately cover the full workflow from format discovery through purchase, status tracking, and results retrieval, plus local recovery. No tool feels redundant or missing for the core scope.
Completeness4/5
The toolset covers the full study lifecycle: discovery, creation, quoting, purchase, status polling, results, and local recovery. Minor gaps exist for cancellation/refund or explicit study metadata retrieval, though immutability and the payment model may make these out of scope.
Maintenance
ActivityMaintained
ResponsivenessNo issues