Retrieve best tool ranking with evidence
The agent provides a ranked list of tools for a specific category, including scores, methodology, and artifact-backed evidence for each ranking decision.
How it works
The agent identifies the relevant ranking slug or searches for a topic using list_rankings or search. It then calls get_ranking to retrieve the structured data, including the winner, per-metric scores, and testing methodology. To verify the claims, the agent can optionally call get_evidence to retrieve raw observation cells with screenshots and researcher notes, ensuring the recommendation is backed by provable test data rather than marketing prose.
Prompt
Paste this into an agent that has the servers below connected. Adjust the names and dates to your own.
Find the best OCR tool for invoices and provide the top 3 ranked options with their scores and the evidence behind the ranking.MCP servers it needs
Source
The vendor page this playbook is drawn from, and the passage that supports it.
get_ranking({"slug": "resume-parsing-api"}) returns ranked tools with badges, per-metric scores, the testing methodology, and per-tool worked/struggled breakdowns as typed JSON.MCP Server — Developer Guide