Merge branch 'feat/v125-self-description-docs' into release/v1.25.0

# Conflicts:
#	docs/api/mcp-capabilities.md
This commit is contained in:
Marc-André Bombeck committed 2026-06-28 17:46:40 +02:00
commit fb580f4725
17 files changed
+248 -11

No files matched your search

+18 -4
View File
@@ -28,7 +28,10 @@ them up front):
4. **Data and context only.** The server ships facts; it never returns a
diagnosis, clinical verdict, risk score, or treatment change. The
assistant narrates the facts and leaves clinical judgement to the
user's clinician.
user's clinician. This mirrors HealthLog's project-wide self-description
standard: the app is a personal health record-keeping and wellness tool,
not a medical device, and nothing it surfaces — here or in the UI —
diagnoses or treats.
Discover before fetching: call `list_metrics` (or read the
`healthlog://measurements/inventory` resource) first to see what exists,
@@ -106,7 +109,10 @@ surfaces a signal only when the user has recorded it; `fetch metric:<KEY>`
hydrates it). Each carries its unit and population reference band from the
single signal registry; absence is the usual `{ present: false }`. They
sit off the Coach data inventory by design, so `list_metrics` /
`get_metric_series` do not enumerate them — use the reads above.
`get_metric_series` do not enumerate them — use the reads above. A new
signal is declared once in the in-app signal registry and shows up across
the metric tools, correlations, and the FHIR map together, so the MCP
surface never advertises a signal the record can't return.
The **longevity lab panel** (ApoB, Lp(a), hs-CRP, HbA1c, fasting glucose,
fasting insulin, eGFR, GGT, ferritin, omega-3 index) is reached like any
@@ -118,10 +124,18 @@ curated biomarker catalogue.
**Off the MCP surface by construction.** The PHQ-9 / GAD-7 mental-health
screeners (item content and totals) are excluded from AI / MCP, and the
environmental-context signals (`ENV_*`: temperature, sunshine, daylight,
precipitation, barometric pressure) are off MCP in v1. None of them
resolve through any read tool — they are not on the MCP exposure
precipitation, barometric pressure) are off MCP in v1. The structured
records (allergies, family history) and the inbound-document store are
deliberately not exposed either: the document pipeline extracts facts for
the user to confirm in-app rather than streaming them to a model. None of
them resolve through any read tool — they are not on the MCP exposure
allowlist.
This mirrors HealthLog's project-wide self-description standard: the MCP
surface ships data and context, never a diagnosis, clinical verdict, or
treatment change — the assistant narrates the facts and leaves clinical
judgement to the user's clinician.
## Resources
Read-only context the assistant can attach alongside tool results. Like