Microgram: fda-rwd-source-fitness
FDA real-world data source fitness: evaluates EHR, claims, and registry data quality dimensions per FDA Guidance 'RWD: Assessing EHR and Medical Claims Data' (2024)
Taxonomy
Linnaean classification joined from the algovigilance taxonomy index via the parent config's rank.
| Rank | Value |
|---|---|
| domain | Substrata |
| kingdom | Constructa |
| phylum | Configa |
| class | station-config |
| order | algovigilance |
| family | mcp-tool-config |
Characteristics:
- substrate:
config - domain:
pv - lifecycle:
continuous - authority:
read - compounding:
producer - io:
agent-request→tool-response
Input schema
data_source_typestringrequired — RWD source: ehr, medical_claims, linked_ehr_claims, disease_registry, product_registrycompletenessstringrequired — Data completeness assessment: high, moderate, lowoutcome_ascertainmentstring — Ability to capture outcomes: validated_algorithm, icd_codes_only, chart_review_available, not_capturedlongitudinal_followupboolean — Whether data supports adequate longitudinal follow-up for the study question
Example call
POST /api/mcp
Content-Type: application/json
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "station__algovigilance__microgram-fda-rwd-source-fitness",
"arguments": {
"data_source_type": "",
"completeness": ""
}
}
}How to invoke from a client
From any MCP-aware client, add https://algovigilance.com/api/mcp as an MCP server, then call this tool by name. From a raw HTTP client, send the JSON-RPC body above to /api/mcp.
Agent-friendly formats
Working inside an AI assistant? Use the Copy for AI button at the top of this page (or view the raw Markdown) to paste a clean, token-budgeted version of this tool's contract into your conversation.
Related
- All tools (7718 live)
- /api/mcp — endpoint
- /AGENTS.md — agent guide
- /tools/algovigilance__microgram-fda-rwd-source-fitness/raw.md — this page's Markdown twin