Added value: +{
+  "description": "Share of the question's information this object accounts for, weighted by term rarity. 1 means every meaningful word in the query is present; a low value with a high score means the object matched common words only.",
+  "type": "number"
+}

Previous value: -"Which fields the query hit: name, tags, content. Does NOT determine the score on its own."New value: +"Which fields the query hit: name, tags, questions, summary, claims. Does NOT determine the score on its own."

Previous value: -"Text match, weighted by where the token hits (name 3, tags 2, content 1 per query token), plus a centrality bonus of up to 0.9 for objects that other objects point at. That bonus is why two hits can share matched_fields and still score differently: the decimal is inbound edges, not text relevance."New value: +"BM25 relevance: each query term is weighted by how RARE it is in this corpus and by where it hits (name 3, tags 2, questions 2, body 1). A hit must also cover a minimum share of the question's information, measured in the same rarity weights — matching only common words does not qualify. Centrality (how many objects point at this one) breaks TIES ONLY and is never part of the score, so it cannot make an irrelevant object rank. Two hits with the same matched_fields can still differ: the score is rarity-weighted, so matching a rare term is worth more than matching a common one."

Added value: +{
+  "additionalProperties": {
+    "additionalProperties": {},
+    "propertyNames": {
+      "type": "string"
+    },
+    "type": "object"
+  },
+  "description": "Indexed instance-specific attributes, grouped by namespace — the same fields api/index.json publishes. Absent when the instance declares none.",
+  "propertyNames": {
+    "type": "string"
+  },
+  "type": "object"
+}

Previous value: -[
-  "id",
-  "type",
-  "name",
-  "summary",
-  "tags",
-  "evidence_tier",
-  "confidence",
-  "last_verified",
-  "canonical_url",
-  "api_url",
-  "score",
-  "matched_fields"
-]New value: +[
+  "id",
+  "type",
+  "name",
+  "summary",
+  "tags",
+  "evidence_tier",
+  "confidence",
+  "last_verified",
+  "canonical_url",
+  "api_url",
+  "score",
+  "matched_fields",
+  "coverage"
+]

Added value: +"How many ranked hits to return, best first."

Added value: +"What to look for, in the user's own words. Matched against titles, questions, claim text and tags; accents and apostrophes are ignored, so 'jose' finds 'José'."

Added value: +"Which fields the query hit: name, tags, content. Does NOT determine the score on its own."

Added value: +"Text match, weighted by where the token hits (name 3, tags 2, content 1 per query token), plus a centrality bonus of up to 0.9 for objects that other objects point at. That bonus is why two hits can share matched_fields and still score differently: the decimal is inbound edges, not text relevance."