run-appe-integration-scorer
APPE Ch7.4: Score Foundation-Communication Integration Module (D1+D14) quality. Chains from anchor-d1 + integration-d14 outputs.
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 | microgram |
| family | mcp-tool-config |
Characteristics:
- substrate:
config - domain:
pv - lifecycle:
continuous - authority:
read - compounding:
producer - io:
agent-request→tool-response
Input schema
audience_types_demonstratedintegerrequired — Input parameter: audience_types_demonstratedtechnical_accuracy_pctintegerrequired — Input parameter: technical_accuracy_pctcommunication_clarity_pctintegerrequired — Input parameter: communication_clarity_pctpeer_teaching_scorenumberrequired — Input parameter: peer_teaching_score
Example call
POST /api/mcp
Content-Type: application/json
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "station__microgram__run-appe-integration-scorer",
"arguments": {
"audience_types_demonstrated": 0,
"technical_accuracy_pct": 0,
"communication_clarity_pct": 0,
"peer_teaching_score": 0
}
}
}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 (3062 live)
- /api/mcp — endpoint
- /AGENTS.md — agent guide
- /tools/microgram__run-appe-integration-scorer/raw.md — this page's Markdown twin