version: "1.0.0" name: ground-adapter description: Ground CXR findings using the trained MI2 adapter. Returns per-finding positive/possible/negative calls for the agent to use when writing the report. argument-hint: |

• image_path: required file path or http(s) URL to the CXR image (PNG or JPEG)
• head: optional adapter head — "mlp" (default) or "svm"

ground-adapter

Calls the trained MI2 adapter and returns per-finding positive/possible/negative calls. Does not write a report — the agent produces the report using the write-report skill after grounding.

Budget

• Tool calls: 1 — exactly one mcp_medimageinsig_adapter_classify call per image.
• Do not retry on success.

How to use

1. Resolve the image. If image_path is an http(s) URL, pass it through to the tool unchanged — do NOT download it, curl it, or turn it into a local file; the MCP server fetches URLs itself. Otherwise it is a local path: the MCP tool runs in a different working directory, so if it is not absolute, resolve it via realpath; if it can't be resolved, ask the user.

1. Call the adapter. Call mcp_medimageinsig_adapter_classify with file_path = absolute path and head = the caller's value if provided (otherwise omit; defaults to mlp). One call per image.

1. Read the results. The adapter returns {label: "positive" | "possible" | "negative"}, already bucketed using per-class operating points fit during training (Youden-J for rule-in, sens90 for rule-out). No further thresholding.

1. Return the findings. Return the positive and possible labels. Omit negatives. Do not write a report. The agent decides what to do next.