AlphAI

Ticker news feed

alphai_ticker_news

Read-onlyIdempotent

News for one ticker, including SEC Form 4 trades by default. Use include_insider=false to omit those trades. Published mode serves older history; ingested mode polls new arrivals. collapse_stories=true selects story roots, not later member updates. Delisted symbols retain history with delisted/renamed_to metadata; unknown_ticker means unrecognized. Rename aliases and issuer share classes are included. Coins use -USD; ticker_note flags stock/ETF collisions. Use detail='compact' for headlines, sources, times, tickers, scores and story/search metadata without summary, analysis or SEC detail blocks. Expand uids with alphai_article. detail='full' is default; selection, order, cursors and page metadata are identical. In ingested mode, prime may be partial/empty and starts at the feed head. Resume until empty success; short pages can continue. Empty pages still spend quota: back off after one and filter (min_relevance, symbol). Errors are JSON: delta_scan_incomplete means use extra.next_cursor with unchanged filters/sort; delta_candidates_changed means retry the original request.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "ticker": "<ticker>"
    },
    "name": "alphai_ticker_news"
  }
}

Input Schema

Name	Required	Description	Default
`sort`	No	published (default): newest first. ingested: delta polling — only rows added since your cursor, ascending; next_cursor is always returned (empty items = caught up, keep the cursor and poll later). A cursor only works with the sort mode that issued it.
`limit`	No	Alias for page_size.
`cursor`	No	Opaque cursor from a prior next_cursor.
`detail`	No	full (default): existing item format. compact: headlines, sources, times, tickers, scores and story/search metadata without summary or analysis. Prefer compact for polling; alphai_article(uid) expands an item.	full
`ticker`	Yes	Ticker symbol, e.g. 'AAPL'.
`page_size`	No	Items/page; capped at 20 Free/Basic, 50 Pro.
`min_relevance`	No	Minimum AI relevance score, 1-10. Default 4 leaves out low-relevance items; 1-3 adds them.
`include_insider`	No	Include SEC Form 4 insider news; default true.
`collapse_stories`	No	Collapse coverage of the same event — syndicated reprints and independently written articles — to one representative per story and populate story_id/sources_count/sources (default false).

Output Schema

Name	Required	Description	Default
`count`	No
`items`	No
`delisted`	No
`renamed_to`	No
`next_cursor`	No
`ticker_note`	No
`unknown_ticker`	No
`query_interpretation`	No

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedNov 9, 2026

changedOutput schema / properties / query_interpretation / anyOf

Previous value: -[
-  {
-    "description": "How ``alphai_news_search`` read a free-text ``query`` — the echo that makes\na resolver miss legible. Before it, a query read as the wrong company or\ndiscarded entirely came back indistinguishable from a hit\n(issues/2026-08-16-freetext-query-resolves-jane-street-to-janl.md).\n\n``mode``: ``searched`` — the text search served the items\n(``NEWS_SEARCH_MODE=on``, the normal state since 2026-09-23): ``search``\nsays what selected them, ``tickers``/``category`` only say what the words\nwere ALSO read as (reference, never a filter) and ``ignored_terms`` is\nempty, because nothing was ignored — the whole text was searched. Before\nthis (review finding 1a/1b, 2026-09-23) the text path echoed the\nresolver's ``resolved`` + its ``ignored_terms`` next to a ``search`` block\nwhose ``terms`` were those very words, and a read category looked applied\nwhile nothing but the text filtered the items. The resolver modes describe\nthe fallback when the text search is switched off: ``resolved`` — at least\none query word became a filter that is applied to the items;\n``overridden`` — the query resolved, but explicit ``tickers``/``category``\nreplaced every filter it produced; ``unresolved`` — no query word matched a\nticker, company name or topic word, so the items are NOT matches for the\nquery (``note`` says what they are instead). ``ignored_terms`` then lists\nthe content words that matched nothing; stopwords are dropped silently.\n``note`` is one or two plain sentences an agent can act on, same role as\n``ticker_note``.",
-    "properties": {
-      "category": {
-        "anyOf": [
-          {
-            "type": "string"
-          },
-          {
-            "type": "null"
-          }
-        ],
-        "default": null
-      },
-      "category_term": {
-        "anyOf": [
-          {
-            "type": "string"
-          },
-          {
-            "type": "null"
-          }
-        ],
-        "default": null
-      },
-      "ignored_terms": {
-        "items": {
-          "type": "string"
-        },
-        "type": "array"
-      },
-      "mode": {
-        "enum": [
-          "searched",
-          "resolved",
-          "overridden",
-          "unresolved"
-        ],
-        "type": "string"
-      },
-      "note": {
-        "default": "",
-        "type": "string"
-      },
-      "search": {
-        "anyOf": [
-          {
-            "description": "How the text search read the query (docs/HYBRID_NEWS_SEARCH_PLAN.md\nstep 2): ``strict`` = every term required; ``broadened`` = fewer strict\nmatches than the threshold, so the most common words were dropped first\nand every item carries at least two of the terms; ``no_match``;\n``no_terms``. ``sort`` is ``published`` when every term is a very common\nword (newest matches, not best). ``terms`` are the normalized words that\nwere searched. ``required_terms`` is filled only when the search reports\nwhich words every broadened row had to carry (the current engine does\nnot) — ``search_match.terms_matched`` on each item is the count to trust.\n``matched`` is the engine's capped estimate of matching rows, counted\nbefore the visibility strip, never a global total. Which engine answered is NOT part of\nthe contract: it goes to the search log (``ranking_version``). The\n``engine`` field that shipped with 1.41.0 was read by an external review\nas an implementation leak, and it was one — a client has no action on\n\"meilisearch\" (issues/2026-09-23-news-search-review-triage.md).",
-            "properties": {
-              "matched": {
-                "default": 0,
-                "type": "integer"
-              },
-              "mode": {
-                "enum": [
-                  "strict",
-                  "broadened",
-                  "no_match",
-                  "no_terms"
-                ],
-                "type": "string"
-              },
-              "optional_terms": {
-                "items": {
-                  "type": "string"
-                },
-                "type": "array"
-              },
-              "required_terms": {
-                "items": {
-                  "type": "string"
-                },
-                "type": "array"
-              },
-              "sort": {
-                "enum": [
-                  "relevance",
-                  "published"
-                ],
-                "type": "string"
-              },
-              "terms": {
-                "items": {
-                  "type": "string"
-                },
-                "type": "array"
-              },
-              "window_from": {
-                "anyOf": [
-                  {
-                    "type": "string"
-                  },
-                  {
-                    "type": "null"
-                  }
-                ],
-                "default": null
-              }
-            },
-            "required": [
-              "mode",
-              "sort"
-            ],
-            "type": "object"
-          },
-          {
-            "type": "null"
-          }
-        ],
-        "default": null
-      },
-      "tickers": {
-        "items": {
-          "description": "One ticker a free-text ``query`` resolved to (docs/HYBRID_NEWS_SEARCH_PLAN.md\nstep 1). ``name`` is the issuer's registered name, so an agent can see that\n\"PMI\" was read as Picard Medical rather than the ISM purchasing-managers\nindex; ``term`` is the query word that produced it (share-class siblings\ninherit the seed word's term).",
-          "properties": {
-            "name": {
-              "anyOf": [
-                {
-                  "type": "string"
-                },
-                {
-                  "type": "null"
-                }
-              ],
-              "default": null
-            },
-            "term": {
-              "type": "string"
-            },
-            "ticker": {
-              "type": "string"
-            }
-          },
-          "required": [
-            "ticker",
-            "term"
-          ],
-          "type": "object"
-        },
-        "type": "array"
-      }
-    },
-    "required": [
-      "mode"
-    ],
-    "type": "object"
-  },
-  {
-    "type": "null"
-  }
-]New value: +[
+  {
+    "description": "How ``alphai_news_search`` read a free-text ``query``, so that a query read\nas the wrong company, or not matched at all, is visible instead of looking\nlike a hit.\n\n``mode``: ``searched`` — the text search served the items: ``search`` says\nwhat selected them, ``tickers``/``category`` only say what the words were\nALSO read as (reference, never a filter) and ``ignored_terms`` is empty,\nbecause the whole text was searched. The other modes apply when the text\nsearch is unavailable and the query is resolved to filters instead:\n``resolved`` — at least\none query word became a filter that is applied to the items;\n``overridden`` — the query resolved, but explicit ``tickers``/``category``\nreplaced every filter it produced; ``unresolved`` — no query word matched a\nticker, company name or topic word, so the items are NOT matches for the\nquery (``note`` says what they are instead). ``ignored_terms`` then lists\nthe content words that matched nothing; stopwords are dropped silently.\n``note`` is one or two plain sentences an agent can act on, same role as\n``ticker_note``.",
+    "properties": {
+      "category": {
+        "anyOf": [
+          {
+            "type": "string"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "category_term": {
+        "anyOf": [
+          {
+            "type": "string"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "ignored_terms": {
+        "items": {
+          "type": "string"
+        },
+        "type": "array"
+      },
+      "mode": {
+        "enum": [
+          "searched",
+          "resolved",
+          "overridden",
+          "unresolved"
+        ],
+        "type": "string"
+      },
+      "note": {
+        "default": "",
+        "type": "string"
+      },
+      "search": {
+        "anyOf": [
+          {
+            "description": "How the text search read the query. ``mode``: ``strict`` = every term\nrequired; ``broadened`` = too few strict matches, so the most common words\nwere dropped first and every item carries at least two of the terms;\n``no_match``; ``no_terms``. ``sort`` is ``published`` when every term is a\nvery common word (newest matches, not best). ``terms`` are the normalized\nwords that were searched. ``required_terms`` lists the words every\nbroadened item had to carry, when the search reports them;\n``search_match.terms_matched`` on each item is the count to trust.\n``matched`` is a capped estimate of matching items, counted before the\nfeed's own filters, never a global total.",
+            "properties": {
+              "matched": {
+                "default": 0,
+                "type": "integer"
+              },
+              "mode": {
+                "enum": [
+                  "strict",
+                  "broadened",
+                  "no_match",
+                  "no_terms"
+                ],
+                "type": "string"
+              },
+              "optional_terms": {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              "required_terms": {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              "sort": {
+                "enum": [
+                  "relevance",
+                  "published"
+                ],
+                "type": "string"
+              },
+              "terms": {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              "window_from": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              }
+            },
+            "required": [
+              "mode",
+              "sort"
+            ],
+            "type": "object"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "tickers": {
+        "items": {
+          "description": "One ticker a free-text ``query`` resolved to. ``name`` is the issuer's registered name, so an agent can see that\n\"PMI\" was read as Picard Medical rather than the ISM purchasing-managers\nindex; ``term`` is the query word that produced it (share-class siblings\ninherit the seed word's term).",
+          "properties": {
+            "name": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null
+            },
+            "term": {
+              "type": "string"
+            },
+            "ticker": {
+              "type": "string"
+            }
+          },
+          "required": [
+            "ticker",
+            "term"
+          ],
+          "type": "object"
+        },
+        "type": "array"
+      }
+    },
+    "required": [
+      "mode"
+    ],
+    "type": "object"
+  },
+  {
+    "type": "null"
+  }
+]

Changed1 schema field changedOct 30, 2026

changedOutput schema / properties / query_interpretation / anyOf

Previous value: -[
-  {
-    "description": "How ``alphai_news_search`` read a free-text ``query`` — the echo that makes\na resolver miss legible. Before it, a query read as the wrong company or\ndiscarded entirely came back indistinguishable from a hit\n(issues/2026-08-16-freetext-query-resolves-jane-street-to-janl.md).\n\n``mode``: ``searched`` — the text search served the items\n(``NEWS_SEARCH_MODE=on``, the normal state since 2026-09-23): ``search``\nsays what selected them, ``tickers``/``category`` only say what the words\nwere ALSO read as (reference, never a filter) and ``ignored_terms`` is\nempty, because nothing was ignored — the whole text was searched. Before\nthis (review finding 1a/1b, 2026-09-23) the text path echoed the\nresolver's ``resolved`` + its ``ignored_terms`` next to a ``search`` block\nwhose ``terms`` were those very words, and a read category looked applied\nwhile nothing but the text filtered the items. The resolver modes describe\nthe fallback when the text search is switched off: ``resolved`` — at least\none query word became a filter that is applied to the items;\n``overridden`` — the query resolved, but explicit ``tickers``/``category``\nreplaced every filter it produced; ``unresolved`` — no query word matched a\nticker, company name or topic word, so the items are NOT matches for the\nquery (``note`` says what they are instead). ``ignored_terms`` then lists\nthe content words that matched nothing; stopwords are dropped silently.\n``note`` is one or two plain sentences an agent can act on, same role as\n``ticker_note``.",
-    "properties": {
-      "category": {
-        "anyOf": [
-          {
-            "type": "string"
-          },
-          {
-            "type": "null"
-          }
-        ],
-        "default": null
-      },
-      "category_term": {
-        "anyOf": [
-          {
-            "type": "string"
-          },
-          {
-            "type": "null"
-          }
-        ],
-        "default": null
-      },
-      "ignored_terms": {
-        "items": {
-          "type": "string"
-        },
-        "type": "array"
-      },
-      "mode": {
-        "enum": [
-          "searched",
-          "resolved",
-          "overridden",
-          "unresolved"
-        ],
-        "type": "string"
-      },
-      "note": {
-        "default": "",
-        "type": "string"
-      },
-      "search": {
-        "anyOf": [
-          {
-            "description": "How the text search read the query (docs/HYBRID_NEWS_SEARCH_PLAN.md\nstep 2): ``strict`` = every term required; ``broadened`` = fewer strict\nmatches than the threshold, so the most common words were dropped first\nand every item carries at least two of the terms; ``no_match``;\n``no_terms``. ``sort`` is ``published`` when every term is a very common\nword (newest matches, not best). ``terms`` are the normalized words that\nwere searched. ``required_terms`` is filled only when the search reports\nwhich words every broadened row had to carry (the Postgres path does, the\nengine does not) — ``search_match.terms_matched`` on each item is the\ncount to trust. ``matched`` counts the visible matches inside the bounded\ncandidate set, never a global total. Which engine answered is NOT part of\nthe contract: it goes to the search log (``ranking_version``). The\n``engine`` field that shipped with 1.41.0 was read by an external review\nas an implementation leak, and it was one — a client has no action on\n\"meilisearch\" (issues/2026-09-23-news-search-review-triage.md).",
-            "properties": {
-              "matched": {
-                "default": 0,
-                "type": "integer"
-              },
-              "mode": {
-                "enum": [
-                  "strict",
-                  "broadened",
-                  "no_match",
-                  "no_terms"
-                ],
-                "type": "string"
-              },
-              "optional_terms": {
-                "items": {
-                  "type": "string"
-                },
-                "type": "array"
-              },
-              "required_terms": {
-                "items": {
-                  "type": "string"
-                },
-                "type": "array"
-              },
-              "sort": {
-                "enum": [
-                  "relevance",
-                  "published"
-                ],
-                "type": "string"
-              },
-              "terms": {
-                "items": {
-                  "type": "string"
-                },
-                "type": "array"
-              },
-              "window_from": {
-                "anyOf": [
-                  {
-                    "type": "string"
-                  },
-                  {
-                    "type": "null"
-                  }
-                ],
-                "default": null
-              }
-            },
-            "required": [
-              "mode",
-              "sort"
-            ],
-            "type": "object"
-          },
-          {
-            "type": "null"
-          }
-        ],
-        "default": null
-      },
-      "tickers": {
-        "items": {
-          "description": "One ticker a free-text ``query`` resolved to (docs/HYBRID_NEWS_SEARCH_PLAN.md\nstep 1). ``name`` is the issuer's registered name, so an agent can see that\n\"PMI\" was read as Picard Medical rather than the ISM purchasing-managers\nindex; ``term`` is the query word that produced it (share-class siblings\ninherit the seed word's term).",
-          "properties": {
-            "name": {
-              "anyOf": [
-                {
-                  "type": "string"
-                },
-                {
-                  "type": "null"
-                }
-              ],
-              "default": null
-            },
-            "term": {
-              "type": "string"
-            },
-            "ticker": {
-              "type": "string"
-            }
-          },
-          "required": [
-            "ticker",
-            "term"
-          ],
-          "type": "object"
-        },
-        "type": "array"
-      }
-    },
-    "required": [
-      "mode"
-    ],
-    "type": "object"
-  },
-  {
-    "type": "null"
-  }
-]New value: +[
+  {
+    "description": "How ``alphai_news_search`` read a free-text ``query`` — the echo that makes\na resolver miss legible. Before it, a query read as the wrong company or\ndiscarded entirely came back indistinguishable from a hit\n(issues/2026-08-16-freetext-query-resolves-jane-street-to-janl.md).\n\n``mode``: ``searched`` — the text search served the items\n(``NEWS_SEARCH_MODE=on``, the normal state since 2026-09-23): ``search``\nsays what selected them, ``tickers``/``category`` only say what the words\nwere ALSO read as (reference, never a filter) and ``ignored_terms`` is\nempty, because nothing was ignored — the whole text was searched. Before\nthis (review finding 1a/1b, 2026-09-23) the text path echoed the\nresolver's ``resolved`` + its ``ignored_terms`` next to a ``search`` block\nwhose ``terms`` were those very words, and a read category looked applied\nwhile nothing but the text filtered the items. The resolver modes describe\nthe fallback when the text search is switched off: ``resolved`` — at least\none query word became a filter that is applied to the items;\n``overridden`` — the query resolved, but explicit ``tickers``/``category``\nreplaced every filter it produced; ``unresolved`` — no query word matched a\nticker, company name or topic word, so the items are NOT matches for the\nquery (``note`` says what they are instead). ``ignored_terms`` then lists\nthe content words that matched nothing; stopwords are dropped silently.\n``note`` is one or two plain sentences an agent can act on, same role as\n``ticker_note``.",
+    "properties": {
+      "category": {
+        "anyOf": [
+          {
+            "type": "string"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "category_term": {
+        "anyOf": [
+          {
+            "type": "string"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "ignored_terms": {
+        "items": {
+          "type": "string"
+        },
+        "type": "array"
+      },
+      "mode": {
+        "enum": [
+          "searched",
+          "resolved",
+          "overridden",
+          "unresolved"
+        ],
+        "type": "string"
+      },
+      "note": {
+        "default": "",
+        "type": "string"
+      },
+      "search": {
+        "anyOf": [
+          {
+            "description": "How the text search read the query (docs/HYBRID_NEWS_SEARCH_PLAN.md\nstep 2): ``strict`` = every term required; ``broadened`` = fewer strict\nmatches than the threshold, so the most common words were dropped first\nand every item carries at least two of the terms; ``no_match``;\n``no_terms``. ``sort`` is ``published`` when every term is a very common\nword (newest matches, not best). ``terms`` are the normalized words that\nwere searched. ``required_terms`` is filled only when the search reports\nwhich words every broadened row had to carry (the current engine does\nnot) — ``search_match.terms_matched`` on each item is the count to trust.\n``matched`` is the engine's capped estimate of matching rows, counted\nbefore the visibility strip, never a global total. Which engine answered is NOT part of\nthe contract: it goes to the search log (``ranking_version``). The\n``engine`` field that shipped with 1.41.0 was read by an external review\nas an implementation leak, and it was one — a client has no action on\n\"meilisearch\" (issues/2026-09-23-news-search-review-triage.md).",
+            "properties": {
+              "matched": {
+                "default": 0,
+                "type": "integer"
+              },
+              "mode": {
+                "enum": [
+                  "strict",
+                  "broadened",
+                  "no_match",
+                  "no_terms"
+                ],
+                "type": "string"
+              },
+              "optional_terms": {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              "required_terms": {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              "sort": {
+                "enum": [
+                  "relevance",
+                  "published"
+                ],
+                "type": "string"
+              },
+              "terms": {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              "window_from": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              }
+            },
+            "required": [
+              "mode",
+              "sort"
+            ],
+            "type": "object"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "tickers": {
+        "items": {
+          "description": "One ticker a free-text ``query`` resolved to (docs/HYBRID_NEWS_SEARCH_PLAN.md\nstep 1). ``name`` is the issuer's registered name, so an agent can see that\n\"PMI\" was read as Picard Medical rather than the ISM purchasing-managers\nindex; ``term`` is the query word that produced it (share-class siblings\ninherit the seed word's term).",
+          "properties": {
+            "name": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null
+            },
+            "term": {
+              "type": "string"
+            },
+            "ticker": {
+              "type": "string"
+            }
+          },
+          "required": [
+            "ticker",
+            "term"
+          ],
+          "type": "object"
+        },
+        "type": "array"
+      }
+    },
+    "required": [
+      "mode"
+    ],
+    "type": "object"
+  },
+  {
+    "type": "null"
+  }
+]

Changed1 schema field changedOct 29, 2026

changedInput schema / properties / collapse_stories / description

Previous value: -"Collapse syndicated reprints to one representative per story and populate story_id/sources_count/sources (default false)."New value: +"Collapse coverage of the same event — syndicated reprints and independently written articles — to one representative per story and populate story_id/sources_count/sources (default false)."

Changed1 schema field changedOct 26, 2026

changedInput schema / properties / min_relevance / description

Previous value: -"Minimum AI relevance score, 1-10."New value: +"Minimum AI relevance score, 1-10. Default 4 leaves out low-relevance items; 1-3 adds them."

Changed5 schema fields changedOct 10, 2026

addedInput schema / properties / detail

Added value: +{
+  "default": "full",
+  "description": "full (default): existing item format. compact: headlines, sources, times, tickers, scores and story/search metadata without summary or analysis. Prefer compact for polling; alphai_article(uid) expands an item.",
+  "enum": [
+    "full",
+    "compact"
+  ],
+  "type": "string"
+}

addedOutput schema / properties / items / items / anyOf

Added value: +[
+  {
+    "properties": {
+      "analysis": {
+        "anyOf": [
+          {
+            "properties": {
+              "actionability": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "alternative_perspectives": {
+                "anyOf": [
+                  {
+                    "properties": {
+                      "contrarian_view": {
+                        "anyOf": [
+                          {
+                            "type": "string"
+                          },
+                          {
+                            "type": "null"
+                          }
+                        ],
+                        "default": null
+                      },
+                      "overlooked_factors": {
+                        "anyOf": [
+                          {
+                            "type": "string"
+                          },
+                          {
+                            "type": "null"
+                          }
+                        ],
+                        "default": null
+                      }
+                    },
+                    "type": "object"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "background_context": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "indirect_market_effects": {
+                "anyOf": [
+                  {
+                    "properties": {
+                      "global_market_relevance": {
+                        "anyOf": [
+                          {
+                            "type": "string"
+                          },
+                          {
+                            "type": "null"
+                          }
+                        ],
+                        "default": null
+                      },
+                      "regional_market_impact": {
+                        "anyOf": [
+                          {
+                            "type": "string"
+                          },
+                          {
+                            "type": "null"
+                          }
+                        ],
+                        "default": null
+                      },
+                      "sector_implications": {
+                        "anyOf": [
+                          {
+                            "type": "string"
+                          },
+                          {
+                            "type": "null"
+                          }
+                        ],
+                        "default": null
+                      }
+                    },
+                    "type": "object"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "information_novelty": {
+                "anyOf": [
+                  {
+                    "type": "integer"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "key_entities": {
+                "items": {
+                  "properties": {
+                    "description": {
+                      "default": "",
+                      "type": "string"
+                    },
+                    "entity_type": {
+                      "default": "",
+                      "type": "string"
+                    },
+                    "name": {
+                      "default": "",
+                      "type": "string"
+                    }
+                  },
+                  "type": "object"
+                },
+                "type": "array"
+              },
+              "market_relevance_summary": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "market_sentiment_alignment": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "ticker_analysis": {
+                "items": {
+                  "properties": {
+                    "confidence": {
+                      "anyOf": [
+                        {
+                          "type": "string"
+                        },
+                        {
+                          "type": "null"
+                        }
+                      ],
+                      "default": null
+                    },
+                    "price_impact_prediction": {
+                      "anyOf": [
+                        {
+                          "type": "string"
+                        },
+                        {
+                          "type": "null"
+                        }
+                      ],
+                      "default": null
+                    },
+                    "reasoning": {
+                      "anyOf": [
+                        {
+                          "type": "string"
+                        },
+                        {
+                          "type": "null"
+                        }
+                      ],
+                      "default": null
+                    },
+                    "relevance_context": {
+                      "anyOf": [
+                        {
+                          "type": "string"
+                        },
+                        {
+                          "type": "null"
+                        }
+                      ],
+                      "default": null
+                    },
+                    "sentiment": {
+                      "anyOf": [
+                        {
+                          "type": "string"
+                        },
+                        {
+                          "type": "null"
+                        }
+                      ],
+                      "default": null
+                    },
+                    "ticker": {
+                      "type": "string"
+                    }
+                  },
+                  "required": [
+                    "ticker"
+                  ],
+                  "type": "object"
+                },
+                "type": "array"
+              },
+              "timing_relevance": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              }
+            },
+            "type": "object"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "banner_image": {
+        "anyOf": [
+          {
+            "type": "string"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "category": {
+        "type": "string"
+      },
+      "created_at": {
+        "type": "string"
+      },
+      "earnings": {
+        "anyOf": [
+          {
+            "additionalProperties": true,
+            "type": "object"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "filing": {
+        "anyOf": [
+          {
+            "description": "Structured SEC 8-K filing block (``source_type == \"sec_form8k\"`` items on\nthe news tools).\n\nA read-only projection of the 8-K sidecar\n(``apps.data.models.EightKEventModel``) — same fields and semantics as the\nREST ``/api/news/`` block (openapi.yaml: ``EightKFiling``): ``items`` is\nevery item code the filing carries (the ``item`` filter matches any of\nthem; empty for a header-only filing), ``primary_item`` the one that drove\nthe category, ``accession_number`` the id to cite, ``filed_at`` EDGAR's\nacceptance time, ``event_date`` the filing's own date of report and\n``exhibit_url`` the press-release exhibit the summary was built from.\nDates are ISO strings like the insider block; empty sidecar strings are\n``null``, never ``\"\"``.",
+            "properties": {
+              "accession_number": {
+                "type": "string"
+              },
+              "event_date": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "exhibit_url": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "filed_at": {
+                "type": "string"
+              },
+              "items": {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              "primary_item": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              }
+            },
+            "required": [
+              "items",
+              "accession_number",
+              "filed_at"
+            ],
+            "type": "object"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "insider": {
+        "anyOf": [
+          {
+            "description": "Structured SEC Form 4 event block (``alphai_insider_news`` items only).\n\nAggregate of the news row's whole transaction group — same semantics as the\nREST ``/api/news/insider/`` block (openapi.yaml: ``InsiderEvent``): shares and\nvalue are GROUP sums (a 10b5-1 ladder is one event), ``avg_price_usd`` is\nvalue-weighted over priced tranches, ``is_10b5_1`` is the group OR, the\nlast fill dates the event. ``side`` is the signal label: buy (P) / sell (S)\n/ other (everything else, incl. D — sale to issuer, a buyback/redemption,\nnot an open-market disposition); the raw ``transaction_code`` rides along.\nMoney/share fields are decimal STRINGS (\"25000\", \"187.32\") — flat, precise,\nschema-simple; null when the filing prices no tranche.\n\n``filed_at`` is when EDGAR accepted the filing and ``late_filing`` marks the\nones that missed the SEC's two-business-day deadline; the rule lives in\n``_is_late_filing`` in ``repository.py`` (ported from the backend's\n``apps.insider.services.filing_lateness``). Field reference for both\nsurfaces: ``backend/openapi.yaml`` (``InsiderEvent``).",
+            "properties": {
+              "avg_price_usd": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "filed_at": {
+                "type": "string"
+              },
+              "insider_name": {
+                "type": "string"
+              },
+              "insider_title": {
+                "type": "string"
+              },
+              "is_10b5_1": {
+                "type": "boolean"
+              },
+              "is_director": {
+                "type": "boolean"
+              },
+              "is_officer": {
+                "type": "boolean"
+              },
+              "is_ten_percent_owner": {
+                "type": "boolean"
+              },
+              "late_filing": {
+                "type": "boolean"
+              },
+              "shares": {
+                "type": "string"
+              },
+              "side": {
+                "type": "string"
+              },
+              "total_value_usd": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "transaction_code": {
+                "type": "string"
+              },
+              "transaction_date": {
+                "type": "string"
+              }
+            },
+            "required": [
+              "side",
+              "transaction_code",
+              "shares",
+              "is_10b5_1",
+              "insider_name",
+              "insider_title",
+              "is_officer",
+              "is_director",
+              "is_ten_percent_owner",
+              "transaction_date",
+              "filed_at",
+              "late_filing"
+            ],
+            "type": "object"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "ownership_form": {
+        "anyOf": [
+          {
+            "type": "string"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "read_time_minutes": {
+        "anyOf": [
+          {
+            "type": "integer"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "relevance_score": {
+        "type": "integer"
+      },
+      "search_match": {
+        "anyOf": [
+          {
+            "description": "Per-item evidence from the text path: ``score`` orders the page (cover\ndensity × recency; comparable within one response, not a probability),\n``terms_matched`` is set in broadened mode, ``context`` marks the matched\nwords in the summary with ``**``.",
+            "properties": {
+              "context": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "score": {
+                "type": "number"
+              },
+              "terms_matched": {
+                "anyOf": [
+                  {
+                    "type": "integer"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              }
+            },
+            "required": [
+              "score"
+            ],
+            "type": "object"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "source": {
+        "type": "string"
+      },
+      "source_domain": {
+        "type": "string"
+      },
+      "source_type": {
+        "default": "",
+        "type": "string"
+      },
+      "sources": {
+        "anyOf": [
+          {
+            "items": {
+              "type": "string"
+            },
+            "type": "array"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "sources_count": {
+        "anyOf": [
+          {
+            "type": "integer"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "story_id": {
+        "anyOf": [
+          {
+            "type": "string"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "summary": {
+        "type": "string"
+      },
+      "tickers": {
+        "items": {
+          "type": "string"
+        },
+        "type": "array"
+      },
+      "time_published": {
+        "type": "string"
+      },
+      "title": {
+        "type": "string"
+      },
+      "uid": {
+        "type": "string"
+      },
+      "url": {
+        "type": "string"
+      }
+    },
+    "required": [
+      "uid",
+      "title",
+      "url",
+      "source",
+      "source_domain",
+      "summary",
+      "category",
+      "relevance_score",
+      "time_published",
+      "created_at"
+    ],
+    "type": "object"
+  },
+  {
+    "description": "Opt-in feed projection. Expand ``uid`` with ``alphai_article``.\n\nOnly the two scalar analysis signals survive, at the top level. Summary,\nanalysis prose, images and SEC detail blocks are absent, not truncated.\nSearch evidence and Form 4 ownership remain so triage keeps its meaning.",
+    "properties": {
+      "actionability": {
+        "anyOf": [
+          {
+            "type": "string"
+          },
+          {
+            "type": "null"
+          }
+        ]
+      },
+      "category": {
+        "type": "string"
+      },
+      "created_at": {
+        "type": "string"
+      },
+      "information_novelty": {
+        "anyOf": [
+          {
+            "type": "integer"
+          },
+          {
+            "type": "null"
+          }
+        ]
+      },
+      "ownership_form": {
+        "anyOf": [
+          {
+            "type": "string"
+          },
+          {
+            "type": "null"
+          }
+        ]
+      },
+      "relevance_score": {
+        "type": "integer"
+      },
+      "search_match": {
+        "anyOf": [
+          {
+            "description": "Per-item evidence from the text path: ``score`` orders the page (cover\ndensity × recency; comparable within one response, not a probability),\n``terms_matched`` is set in broadened mode, ``context`` marks the matched\nwords in the summary with ``**``.",
+            "properties": {
+              "context": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "score": {
+                "type": "number"
+              },
+              "terms_matched": {
+                "anyOf": [
+                  {
+                    "type": "integer"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              }
+            },
+            "required": [
+              "score"
+            ],
+            "type": "object"
+          },
+          {
+            "type": "null"
+          }
+        ]
+      },
+      "source": {
+        "type": "string"
+      },
+      "source_domain": {
+        "type": "string"
+      },
+      "source_type": {
+        "type": "string"
+      },
+      "sources": {
+        "anyOf": [
+          {
+            "items": {
+              "type": "string"
+            },
+            "type": "array"
+          },
+          {
+            "type": "null"
+          }
+        ]
+      },
+      "sources_count": {
+        "anyOf": [
+          {
+            "type": "integer"
+          },
+          {
+            "type": "null"
+          }
+        ]
+      },
+      "story_id": {
+        "anyOf": [
+          {
+            "type": "string"
+          },
+          {
+            "type": "null"
+          }
+        ]
+      },
+      "tickers": {
+        "items": {
+          "type": "string"
+        },
+        "type": "array"
+      },
+      "time_published": {
+        "type": "string"
+      },
+      "title": {
+        "type": "string"
+      },
+      "uid": {
+        "type": "string"
+      },
+      "url": {
+        "type": "string"
+      }
+    },
+    "required": [
+      "uid",
+      "title",
+      "url",
+      "source",
+      "source_domain",
+      "source_type",
+      "time_published",
+      "created_at",
+      "tickers",
+      "category",
+      "relevance_score",
+      "actionability",
+      "information_novelty",
+      "story_id",
+      "sources_count",
+      "sources",
+      "ownership_form",
+      "search_match"
+    ],
+    "type": "object"
+  }
+]

removedOutput schema / properties / items / items / properties

Removed value: -{
-  "analysis": {
-    "anyOf": [
-      {
-        "properties": {
-          "actionability": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "alternative_perspectives": {
-            "anyOf": [
-              {
-                "properties": {
-                  "contrarian_view": {
-                    "anyOf": [
-                      {
-                        "type": "string"
-                      },
-                      {
-                        "type": "null"
-                      }
-                    ],
-                    "default": null
-                  },
-                  "overlooked_factors": {
-                    "anyOf": [
-                      {
-                        "type": "string"
-                      },
-                      {
-                        "type": "null"
-                      }
-                    ],
-                    "default": null
-                  }
-                },
-                "type": "object"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "background_context": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "indirect_market_effects": {
-            "anyOf": [
-              {
-                "properties": {
-                  "global_market_relevance": {
-                    "anyOf": [
-                      {
-                        "type": "string"
-                      },
-                      {
-                        "type": "null"
-                      }
-                    ],
-                    "default": null
-                  },
-                  "regional_market_impact": {
-                    "anyOf": [
-                      {
-                        "type": "string"
-                      },
-                      {
-                        "type": "null"
-                      }
-                    ],
-                    "default": null
-                  },
-                  "sector_implications": {
-                    "anyOf": [
-                      {
-                        "type": "string"
-                      },
-                      {
-                        "type": "null"
-                      }
-                    ],
-                    "default": null
-                  }
-                },
-                "type": "object"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "information_novelty": {
-            "anyOf": [
-              {
-                "type": "integer"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "key_entities": {
-            "items": {
-              "properties": {
-                "description": {
-                  "default": "",
-                  "type": "string"
-                },
-                "entity_type": {
-                  "default": "",
-                  "type": "string"
-                },
-                "name": {
-                  "default": "",
-                  "type": "string"
-                }
-              },
-              "type": "object"
-            },
-            "type": "array"
-          },
-          "market_relevance_summary": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "market_sentiment_alignment": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "ticker_analysis": {
-            "items": {
-              "properties": {
-                "confidence": {
-                  "anyOf": [
-                    {
-                      "type": "string"
-                    },
-                    {
-                      "type": "null"
-                    }
-                  ],
-                  "default": null
-                },
-                "price_impact_prediction": {
-                  "anyOf": [
-                    {
-                      "type": "string"
-                    },
-                    {
-                      "type": "null"
-                    }
-                  ],
-                  "default": null
-                },
-                "reasoning": {
-                  "anyOf": [
-                    {
-                      "type": "string"
-                    },
-                    {
-                      "type": "null"
-                    }
-                  ],
-                  "default": null
-                },
-                "relevance_context": {
-                  "anyOf": [
-                    {
-                      "type": "string"
-                    },
-                    {
-                      "type": "null"
-                    }
-                  ],
-                  "default": null
-                },
-                "sentiment": {
-                  "anyOf": [
-                    {
-                      "type": "string"
-                    },
-                    {
-                      "type": "null"
-                    }
-                  ],
-                  "default": null
-                },
-                "ticker": {
-                  "type": "string"
-                }
-              },
-              "required": [
-                "ticker"
-              ],
-              "type": "object"
-            },
-            "type": "array"
-          },
-          "timing_relevance": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          }
-        },
-        "type": "object"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "banner_image": {
-    "anyOf": [
-      {
-        "type": "string"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "category": {
-    "type": "string"
-  },
-  "created_at": {
-    "type": "string"
-  },
-  "earnings": {
-    "anyOf": [
-      {
-        "additionalProperties": true,
-        "type": "object"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "filing": {
-    "anyOf": [
-      {
-        "description": "Structured SEC 8-K filing block (``source_type == \"sec_form8k\"`` items on\nthe news tools).\n\nA read-only projection of the 8-K sidecar\n(``apps.data.models.EightKEventModel``) — same fields and semantics as the\nREST ``/api/news/`` block (openapi.yaml: ``EightKFiling``): ``items`` is\nevery item code the filing carries (the ``item`` filter matches any of\nthem; empty for a header-only filing), ``primary_item`` the one that drove\nthe category, ``accession_number`` the id to cite, ``filed_at`` EDGAR's\nacceptance time, ``event_date`` the filing's own date of report and\n``exhibit_url`` the press-release exhibit the summary was built from.\nDates are ISO strings like the insider block; empty sidecar strings are\n``null``, never ``\"\"``.",
-        "properties": {
-          "accession_number": {
-            "type": "string"
-          },
-          "event_date": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "exhibit_url": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "filed_at": {
-            "type": "string"
-          },
-          "items": {
-            "items": {
-              "type": "string"
-            },
-            "type": "array"
-          },
-          "primary_item": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          }
-        },
-        "required": [
-          "items",
-          "accession_number",
-          "filed_at"
-        ],
-        "type": "object"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "insider": {
-    "anyOf": [
-      {
-        "description": "Structured SEC Form 4 event block (``alphai_insider_news`` items only).\n\nAggregate of the news row's whole transaction group — same semantics as the\nREST ``/api/news/insider/`` block (openapi.yaml: ``InsiderEvent``): shares and\nvalue are GROUP sums (a 10b5-1 ladder is one event), ``avg_price_usd`` is\nvalue-weighted over priced tranches, ``is_10b5_1`` is the group OR, the\nlast fill dates the event. ``side`` is the signal label: buy (P) / sell (S)\n/ other (everything else, incl. D — sale to issuer, a buyback/redemption,\nnot an open-market disposition); the raw ``transaction_code`` rides along.\nMoney/share fields are decimal STRINGS (\"25000\", \"187.32\") — flat, precise,\nschema-simple; null when the filing prices no tranche.\n\n``filed_at`` is when EDGAR accepted the filing and ``late_filing`` marks the\nones that missed the SEC's two-business-day deadline; the rule lives in\n``_is_late_filing`` in ``repository.py`` (ported from the backend's\n``apps.insider.services.filing_lateness``). Field reference for both\nsurfaces: ``backend/openapi.yaml`` (``InsiderEvent``).",
-        "properties": {
-          "avg_price_usd": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "filed_at": {
-            "type": "string"
-          },
-          "insider_name": {
-            "type": "string"
-          },
-          "insider_title": {
-            "type": "string"
-          },
-          "is_10b5_1": {
-            "type": "boolean"
-          },
-          "is_director": {
-            "type": "boolean"
-          },
-          "is_officer": {
-            "type": "boolean"
-          },
-          "is_ten_percent_owner": {
-            "type": "boolean"
-          },
-          "late_filing": {
-            "type": "boolean"
-          },
-          "shares": {
-            "type": "string"
-          },
-          "side": {
-            "type": "string"
-          },
-          "total_value_usd": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "transaction_code": {
-            "type": "string"
-          },
-          "transaction_date": {
-            "type": "string"
-          }
-        },
-        "required": [
-          "side",
-          "transaction_code",
-          "shares",
-          "is_10b5_1",
-          "insider_name",
-          "insider_title",
-          "is_officer",
-          "is_director",
-          "is_ten_percent_owner",
-          "transaction_date",
-          "filed_at",
-          "late_filing"
-        ],
-        "type": "object"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "ownership_form": {
-    "anyOf": [
-      {
-        "type": "string"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "read_time_minutes": {
-    "anyOf": [
-      {
-        "type": "integer"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "relevance_score": {
-    "type": "integer"
-  },
-  "search_match": {
-    "anyOf": [
-      {
-        "description": "Per-item evidence from the text path: ``score`` orders the page (cover\ndensity × recency; comparable within one response, not a probability),\n``terms_matched`` is set in broadened mode, ``context`` marks the matched\nwords in the summary with ``**``.",
-        "properties": {
-          "context": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "score": {
-            "type": "number"
-          },
-          "terms_matched": {
-            "anyOf": [
-              {
-                "type": "integer"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          }
-        },
-        "required": [
-          "score"
-        ],
-        "type": "object"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "source": {
-    "type": "string"
-  },
-  "source_domain": {
-    "type": "string"
-  },
-  "source_type": {
-    "default": "",
-    "type": "string"
-  },
-  "sources": {
-    "anyOf": [
-      {
-        "items": {
-          "type": "string"
-        },
-        "type": "array"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "sources_count": {
-    "anyOf": [
-      {
-        "type": "integer"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "story_id": {
-    "anyOf": [
-      {
-        "type": "string"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "summary": {
-    "type": "string"
-  },
-  "tickers": {
-    "items": {
-      "type": "string"
-    },
-    "type": "array"
-  },
-  "time_published": {
-    "type": "string"
-  },
-  "title": {
-    "type": "string"
-  },
-  "uid": {
-    "type": "string"
-  },
-  "url": {
-    "type": "string"
-  }
-}

removedOutput schema / properties / items / items / required

Removed value: -[
-  "uid",
-  "title",
-  "url",
-  "source",
-  "source_domain",
-  "summary",
-  "category",
-  "relevance_score",
-  "time_published",
-  "created_at"
-]

removedOutput schema / properties / items / items / type
```
Removed value: -"object"
```

Changed3 schema fields changedSep 26, 2026

changedInput schema / properties / cursor / anyOf

Previous value: -[
-  {
-    "type": "string"
-  },
-  {
-    "type": "null"
-  }
-]New value: +[
+  {
+    "maxLength": 1024,
+    "type": "string"
+  },
+  {
+    "type": "null"
+  }
+]

addedInput schema / properties / ticker / maxLength
```
Added value: +16
```
addedInput schema / properties / ticker / pattern
```
Added value: +"^[A-Za-z0-9.\\-]+$"
```

Changed1 schema field changedSep 23, 2026

changedOutput schema / properties / query_interpretation / anyOf

Previous value: -[
-  {
-    "description": "How ``alphai_news_search`` read a free-text ``query`` — the echo that makes\na resolver miss legible. Before it, a query read as the wrong company or\ndiscarded entirely came back indistinguishable from a hit\n(issues/2026-08-16-freetext-query-resolves-jane-street-to-janl.md).\n\n``mode``: ``resolved`` — at least one query word became a filter that is\napplied to the items; ``overridden`` — the query resolved, but explicit\n``tickers``/``category`` replaced every filter it produced; ``unresolved`` —\nno query word matched a ticker, company name or topic word, so the items\nare NOT matches for the query (``note`` says what they are instead).\n``ignored_terms`` lists the content words that matched nothing; stopwords\nare dropped silently. ``note`` is one or two plain sentences an agent can act\non, same role as ``ticker_note``.",
-    "properties": {
-      "category": {
-        "anyOf": [
-          {
-            "type": "string"
-          },
-          {
-            "type": "null"
-          }
-        ],
-        "default": null
-      },
-      "category_term": {
-        "anyOf": [
-          {
-            "type": "string"
-          },
-          {
-            "type": "null"
-          }
-        ],
-        "default": null
-      },
-      "ignored_terms": {
-        "items": {
-          "type": "string"
-        },
-        "type": "array"
-      },
-      "mode": {
-        "enum": [
-          "resolved",
-          "overridden",
-          "unresolved"
-        ],
-        "type": "string"
-      },
-      "note": {
-        "default": "",
-        "type": "string"
-      },
-      "search": {
-        "anyOf": [
-          {
-            "description": "How the text search read the query (docs/HYBRID_NEWS_SEARCH_PLAN.md\nstep 2): ``strict`` = every term required; ``broadened`` = fewer strict\nmatches than the threshold, so any rare term plus at least two of the\nterms; ``no_match``; ``no_terms``. ``sort`` is ``published`` when every\nterm is a very common word (newest matches, not best). ``terms`` are the\nnormalized (stemmed) lexemes the index holds. ``matched`` counts the\nvisible matches inside the bounded candidate set, never a global total.",
-            "properties": {
-              "engine": {
-                "default": "postgres",
-                "enum": [
-                  "postgres",
-                  "meilisearch"
-                ],
-                "type": "string"
-              },
-              "matched": {
-                "default": 0,
-                "type": "integer"
-              },
-              "mode": {
-                "enum": [
-                  "strict",
-                  "broadened",
-                  "no_match",
-                  "no_terms"
-                ],
-                "type": "string"
-              },
-              "optional_terms": {
-                "items": {
-                  "type": "string"
-                },
-                "type": "array"
-              },
-              "required_terms": {
-                "items": {
-                  "type": "string"
-                },
-                "type": "array"
-              },
-              "sort": {
-                "enum": [
-                  "relevance",
-                  "published"
-                ],
-                "type": "string"
-              },
-              "terms": {
-                "items": {
-                  "type": "string"
-                },
-                "type": "array"
-              },
-              "window_from": {
-                "anyOf": [
-                  {
-                    "type": "string"
-                  },
-                  {
-                    "type": "null"
-                  }
-                ],
-                "default": null
-              }
-            },
-            "required": [
-              "mode",
-              "sort"
-            ],
-            "type": "object"
-          },
-          {
-            "type": "null"
-          }
-        ],
-        "default": null
-      },
-      "tickers": {
-        "items": {
-          "description": "One ticker a free-text ``query`` resolved to (docs/HYBRID_NEWS_SEARCH_PLAN.md\nstep 1). ``name`` is the issuer's registered name, so an agent can see that\n\"PMI\" was read as Picard Medical rather than the ISM purchasing-managers\nindex; ``term`` is the query word that produced it (share-class siblings\ninherit the seed word's term).",
-          "properties": {
-            "name": {
-              "anyOf": [
-                {
-                  "type": "string"
-                },
-                {
-                  "type": "null"
-                }
-              ],
-              "default": null
-            },
-            "term": {
-              "type": "string"
-            },
-            "ticker": {
-              "type": "string"
-            }
-          },
-          "required": [
-            "ticker",
-            "term"
-          ],
-          "type": "object"
-        },
-        "type": "array"
-      }
-    },
-    "required": [
-      "mode"
-    ],
-    "type": "object"
-  },
-  {
-    "type": "null"
-  }
-]New value: +[
+  {
+    "description": "How ``alphai_news_search`` read a free-text ``query`` — the echo that makes\na resolver miss legible. Before it, a query read as the wrong company or\ndiscarded entirely came back indistinguishable from a hit\n(issues/2026-08-16-freetext-query-resolves-jane-street-to-janl.md).\n\n``mode``: ``searched`` — the text search served the items\n(``NEWS_SEARCH_MODE=on``, the normal state since 2026-09-23): ``search``\nsays what selected them, ``tickers``/``category`` only say what the words\nwere ALSO read as (reference, never a filter) and ``ignored_terms`` is\nempty, because nothing was ignored — the whole text was searched. Before\nthis (review finding 1a/1b, 2026-09-23) the text path echoed the\nresolver's ``resolved`` + its ``ignored_terms`` next to a ``search`` block\nwhose ``terms`` were those very words, and a read category looked applied\nwhile nothing but the text filtered the items. The resolver modes describe\nthe fallback when the text search is switched off: ``resolved`` — at least\none query word became a filter that is applied to the items;\n``overridden`` — the query resolved, but explicit ``tickers``/``category``\nreplaced every filter it produced; ``unresolved`` — no query word matched a\nticker, company name or topic word, so the items are NOT matches for the\nquery (``note`` says what they are instead). ``ignored_terms`` then lists\nthe content words that matched nothing; stopwords are dropped silently.\n``note`` is one or two plain sentences an agent can act on, same role as\n``ticker_note``.",
+    "properties": {
+      "category": {
+        "anyOf": [
+          {
+            "type": "string"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "category_term": {
+        "anyOf": [
+          {
+            "type": "string"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "ignored_terms": {
+        "items": {
+          "type": "string"
+        },
+        "type": "array"
+      },
+      "mode": {
+        "enum": [
+          "searched",
+          "resolved",
+          "overridden",
+          "unresolved"
+        ],
+        "type": "string"
+      },
+      "note": {
+        "default": "",
+        "type": "string"
+      },
+      "search": {
+        "anyOf": [
+          {
+            "description": "How the text search read the query (docs/HYBRID_NEWS_SEARCH_PLAN.md\nstep 2): ``strict`` = every term required; ``broadened`` = fewer strict\nmatches than the threshold, so the most common words were dropped first\nand every item carries at least two of the terms; ``no_match``;\n``no_terms``. ``sort`` is ``published`` when every term is a very common\nword (newest matches, not best). ``terms`` are the normalized words that\nwere searched. ``required_terms`` is filled only when the search reports\nwhich words every broadened row had to carry (the Postgres path does, the\nengine does not) — ``search_match.terms_matched`` on each item is the\ncount to trust. ``matched`` counts the visible matches inside the bounded\ncandidate set, never a global total. Which engine answered is NOT part of\nthe contract: it goes to the search log (``ranking_version``). The\n``engine`` field that shipped with 1.41.0 was read by an external review\nas an implementation leak, and it was one — a client has no action on\n\"meilisearch\" (issues/2026-09-23-news-search-review-triage.md).",
+            "properties": {
+              "matched": {
+                "default": 0,
+                "type": "integer"
+              },
+              "mode": {
+                "enum": [
+                  "strict",
+                  "broadened",
+                  "no_match",
+                  "no_terms"
+                ],
+                "type": "string"
+              },
+              "optional_terms": {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              "required_terms": {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              "sort": {
+                "enum": [
+                  "relevance",
+                  "published"
+                ],
+                "type": "string"
+              },
+              "terms": {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              "window_from": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              }
+            },
+            "required": [
+              "mode",
+              "sort"
+            ],
+            "type": "object"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "tickers": {
+        "items": {
+          "description": "One ticker a free-text ``query`` resolved to (docs/HYBRID_NEWS_SEARCH_PLAN.md\nstep 1). ``name`` is the issuer's registered name, so an agent can see that\n\"PMI\" was read as Picard Medical rather than the ISM purchasing-managers\nindex; ``term`` is the query word that produced it (share-class siblings\ninherit the seed word's term).",
+          "properties": {
+            "name": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null
+            },
+            "term": {
+              "type": "string"
+            },
+            "ticker": {
+              "type": "string"
+            }
+          },
+          "required": [
+            "ticker",
+            "term"
+          ],
+          "type": "object"
+        },
+        "type": "array"
+      }
+    },
+    "required": [
+      "mode"
+    ],
+    "type": "object"
+  },
+  {
+    "type": "null"
+  }
+]

Changed2 schema fields changedSep 23, 2026

addedOutput schema / properties / items / items / properties / search_match

Added value: +{
+  "anyOf": [
+    {
+      "description": "Per-item evidence from the text path: ``score`` orders the page (cover\ndensity × recency; comparable within one response, not a probability),\n``terms_matched`` is set in broadened mode, ``context`` marks the matched\nwords in the summary with ``**``.",
+      "properties": {
+        "context": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null
+        },
+        "score": {
+          "type": "number"
+        },
+        "terms_matched": {
+          "anyOf": [
+            {
+              "type": "integer"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null
+        }
+      },
+      "required": [
+        "score"
+      ],
+      "type": "object"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null
+}

addedOutput schema / properties / query_interpretation

Added value: +{
+  "anyOf": [
+    {
+      "description": "How ``alphai_news_search`` read a free-text ``query`` — the echo that makes\na resolver miss legible. Before it, a query read as the wrong company or\ndiscarded entirely came back indistinguishable from a hit\n(issues/2026-08-16-freetext-query-resolves-jane-street-to-janl.md).\n\n``mode``: ``resolved`` — at least one query word became a filter that is\napplied to the items; ``overridden`` — the query resolved, but explicit\n``tickers``/``category`` replaced every filter it produced; ``unresolved`` —\nno query word matched a ticker, company name or topic word, so the items\nare NOT matches for the query (``note`` says what they are instead).\n``ignored_terms`` lists the content words that matched nothing; stopwords\nare dropped silently. ``note`` is one or two plain sentences an agent can act\non, same role as ``ticker_note``.",
+      "properties": {
+        "category": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null
+        },
+        "category_term": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null
+        },
+        "ignored_terms": {
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "mode": {
+          "enum": [
+            "resolved",
+            "overridden",
+            "unresolved"
+          ],
+          "type": "string"
+        },
+        "note": {
+          "default": "",
+          "type": "string"
+        },
+        "search": {
+          "anyOf": [
+            {
+              "description": "How the text search read the query (docs/HYBRID_NEWS_SEARCH_PLAN.md\nstep 2): ``strict`` = every term required; ``broadened`` = fewer strict\nmatches than the threshold, so any rare term plus at least two of the\nterms; ``no_match``; ``no_terms``. ``sort`` is ``published`` when every\nterm is a very common word (newest matches, not best). ``terms`` are the\nnormalized (stemmed) lexemes the index holds. ``matched`` counts the\nvisible matches inside the bounded candidate set, never a global total.",
+              "properties": {
+                "engine": {
+                  "default": "postgres",
+                  "enum": [
+                    "postgres",
+                    "meilisearch"
+                  ],
+                  "type": "string"
+                },
+                "matched": {
+                  "default": 0,
+                  "type": "integer"
+                },
+                "mode": {
+                  "enum": [
+                    "strict",
+                    "broadened",
+                    "no_match",
+                    "no_terms"
+                  ],
+                  "type": "string"
+                },
+                "optional_terms": {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                },
+                "required_terms": {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                },
+                "sort": {
+                  "enum": [
+                    "relevance",
+                    "published"
+                  ],
+                  "type": "string"
+                },
+                "terms": {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                },
+                "window_from": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "type": "null"
+                    }
+                  ],
+                  "default": null
+                }
+              },
+              "required": [
+                "mode",
+                "sort"
+              ],
+              "type": "object"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null
+        },
+        "tickers": {
+          "items": {
+            "description": "One ticker a free-text ``query`` resolved to (docs/HYBRID_NEWS_SEARCH_PLAN.md\nstep 1). ``name`` is the issuer's registered name, so an agent can see that\n\"PMI\" was read as Picard Medical rather than the ISM purchasing-managers\nindex; ``term`` is the query word that produced it (share-class siblings\ninherit the seed word's term).",
+            "properties": {
+              "name": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "term": {
+                "type": "string"
+              },
+              "ticker": {
+                "type": "string"
+              }
+            },
+            "required": [
+              "ticker",
+              "term"
+            ],
+            "type": "object"
+          },
+          "type": "array"
+        }
+      },
+      "required": [
+        "mode"
+      ],
+      "type": "object"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null
+}

Changed1 schema field changedSep 22, 2026

addedOutput schema / properties / items / items / properties / filing

Added value: +{
+  "anyOf": [
+    {
+      "description": "Structured SEC 8-K filing block (``source_type == \"sec_form8k\"`` items on\nthe news tools).\n\nA read-only projection of the 8-K sidecar\n(``apps.data.models.EightKEventModel``) — same fields and semantics as the\nREST ``/api/news/`` block (openapi.yaml: ``EightKFiling``): ``items`` is\nevery item code the filing carries (the ``item`` filter matches any of\nthem; empty for a header-only filing), ``primary_item`` the one that drove\nthe category, ``accession_number`` the id to cite, ``filed_at`` EDGAR's\nacceptance time, ``event_date`` the filing's own date of report and\n``exhibit_url`` the press-release exhibit the summary was built from.\nDates are ISO strings like the insider block; empty sidecar strings are\n``null``, never ``\"\"``.",
+      "properties": {
+        "accession_number": {
+          "type": "string"
+        },
+        "event_date": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null
+        },
+        "exhibit_url": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null
+        },
+        "filed_at": {
+          "type": "string"
+        },
+        "items": {
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "primary_item": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null
+        }
+      },
+      "required": [
+        "items",
+        "accession_number",
+        "filed_at"
+      ],
+      "type": "object"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null
+}

Changed11 schema fields changedSep 6, 2026

addedInput schema / properties / min_relevance

Added value: +{
+  "default": 4,
+  "description": "Minimum AI relevance score, 1-10.",
+  "maximum": 10,
+  "minimum": 1,
+  "type": "integer"
+}

changedInput schema / properties / page_size / description

Previous value: -"Items/page; capped at 10 Basic / 50 Pro."New value: +"Items/page; capped at 20 Free/Basic, 50 Pro."

addedInput schema / properties / sort

Added value: +{
+  "anyOf": [
+    {
+      "enum": [
+        "published",
+        "ingested"
+      ],
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "published (default): newest first. ingested: delta polling — only rows added since your cursor, ascending; next_cursor is always returned (empty items = caught up, keep the cursor and poll later). A cursor only works with the sort mode that issued it."
+}

addedOutput schema / properties / delisted

Added value: +{
+  "default": false,
+  "type": "boolean"
+}

addedOutput schema / properties / items / items / properties / created_at
```
Added value: +{
+  "type": "string"
+}
```

addedOutput schema / properties / items / items / properties / earnings

Added value: +{
+  "anyOf": [
+    {
+      "additionalProperties": true,
+      "type": "object"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null
+}

addedOutput schema / properties / items / items / properties / insider

Added value: +{
+  "anyOf": [
+    {
+      "description": "Structured SEC Form 4 event block (``alphai_insider_news`` items only).\n\nAggregate of the news row's whole transaction group — same semantics as the\nREST ``/api/news/insider/`` block (openapi.yaml: ``InsiderEvent``): shares and\nvalue are GROUP sums (a 10b5-1 ladder is one event), ``avg_price_usd`` is\nvalue-weighted over priced tranches, ``is_10b5_1`` is the group OR, the\nlast fill dates the event. ``side`` is the signal label: buy (P) / sell (S)\n/ other (everything else, incl. D — sale to issuer, a buyback/redemption,\nnot an open-market disposition); the raw ``transaction_code`` rides along.\nMoney/share fields are decimal STRINGS (\"25000\", \"187.32\") — flat, precise,\nschema-simple; null when the filing prices no tranche.\n\n``filed_at`` is when EDGAR accepted the filing and ``late_filing`` marks the\nones that missed the SEC's two-business-day deadline; the rule lives in\n``_is_late_filing`` in ``repository.py`` (ported from the backend's\n``apps.insider.services.filing_lateness``). Field reference for both\nsurfaces: ``backend/openapi.yaml`` (``InsiderEvent``).",
+      "properties": {
+        "avg_price_usd": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null
+        },
+        "filed_at": {
+          "type": "string"
+        },
+        "insider_name": {
+          "type": "string"
+        },
+        "insider_title": {
+          "type": "string"
+        },
+        "is_10b5_1": {
+          "type": "boolean"
+        },
+        "is_director": {
+          "type": "boolean"
+        },
+        "is_officer": {
+          "type": "boolean"
+        },
+        "is_ten_percent_owner": {
+          "type": "boolean"
+        },
+        "late_filing": {
+          "type": "boolean"
+        },
+        "shares": {
+          "type": "string"
+        },
+        "side": {
+          "type": "string"
+        },
+        "total_value_usd": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null
+        },
+        "transaction_code": {
+          "type": "string"
+        },
+        "transaction_date": {
+          "type": "string"
+        }
+      },
+      "required": [
+        "side",
+        "transaction_code",
+        "shares",
+        "is_10b5_1",
+        "insider_name",
+        "insider_title",
+        "is_officer",
+        "is_director",
+        "is_ten_percent_owner",
+        "transaction_date",
+        "filed_at",
+        "late_filing"
+      ],
+      "type": "object"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null
+}

addedOutput schema / properties / items / items / properties / source_type
```
Added value: +{
+  "default": "",
+  "type": "string"
+}
```

changedOutput schema / properties / items / items / required

Previous value: -[
-  "uid",
-  "title",
-  "url",
-  "source",
-  "source_domain",
-  "summary",
-  "category",
-  "relevance_score",
-  "time_published"
-]New value: +[
+  "uid",
+  "title",
+  "url",
+  "source",
+  "source_domain",
+  "summary",
+  "category",
+  "relevance_score",
+  "time_published",
+  "created_at"
+]

addedOutput schema / properties / renamed_to

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null
+}

addedOutput schema / properties / ticker_note

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null
+}

Changed2 schema fields changedJul 6, 2026

addedInput schema / properties / limit

Added value: +{
+  "anyOf": [
+    {
+      "maximum": 50,
+      "minimum": 1,
+      "type": "integer"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "Alias for page_size."
+}

changedInput schema / properties / page_size / description

Previous value: -"Items/page. 10 Basic / 50 Pro (tools.bulk)."New value: +"Items/page; capped at 10 Basic / 50 Pro."

Changed1 schema field changedJul 4, 2026

changedInput schema / properties / include_insider / description

Previous value: -"Include insider/13F ownership news; default true."New value: +"Include SEC Form 4 insider news; default true."

First observedJun 17, 2026

TDQS

A4.8/5.0

Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover read-only, idempotent, open-world and non-destructive status, and the description adds quota behavior (empty pages still spend quota), partial/empty primes, delisted and renamed ticker metadata, ticker_note collision flags, and rename alias handling. It also maps the two error payloads (delta_scan_incomplete, delta_candidates_changed) to concrete recovery actions. This is behavioral context the annotations cannot supply.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose is front-loaded and nearly every sentence carries actionable content, but the whole definition is a single dense block with no line or bullet structure, making the cursor, quota and error guidance hard to scan. A few clauses (compact field enumeration) duplicate the schema and could be trimmed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 9-parameter polling tool with an output schema and rich annotations, the description covers everything an agent needs to call it correctly: ticker formats for coins, delisted/unknown ticker outcomes, mode-specific cursor rules, cost of empty pages, and error-code recovery. Return formatting is correctly left to the output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the description adds real meaning: it clarifies the interaction between modes (selection, order, cursors and page metadata identical across detail levels) and the operational consequence of include_insider/collapse_stories defaults. Some of it restates schema text (detail='compact' field list, collapse_stories semantics), which keeps it from a 5.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Opens with a specific verb+resource+scope: news for a single ticker, with SEC Form 4 items included by default. It also distinguishes itself from alphai_article by naming it as the tool for expanding uids rather than fetching the feed. An agent can tell which tool handles per-symbol news without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit mode selection (published for older history, ingested for polling new arrivals), tells when to flip include_insider, collapse_stories and detail='compact', and routes uid expansion to alphai_article. It even prescribes an operating loop for ingested mode (prime at feed head, resume until an empty success, back off after one empty page and narrow with min_relevance/symbol).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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