fix: accounting_quality tell + anchoring + routing clarification in prompts

agent/prompts.py

@@ -211,12 +211,16 @@ The filing or transcript does not address a headwind, competitor move, or macro
 **4. Emphasis shift (emphasis_shift)**
 A KPI or metric that was prominently discussed in prior periods is absent or mentioned only briefly now. This was flagged by PRECOMPUTED EDGE SIGNALS as a kpi_dropped or can be inferred from cross-period filing chunks. A dropped KPI is often a metric that has stopped being favorable.
 
+**5. Accounting quality (accounting_quality)**
+A beat driven by a tax rate drop, share count reduction, or below-the-line income rather than revenue or operating income improvement is a quality concern. Use only when get_financial_metrics returned effective_tax_rate, shares_diluted, or interest_income values that explain the beat mechanism. Do not apply when the beat was operationally driven.
+
 ### Output rules for between_the_lines
 
 **between_the_lines** (0-3 items, EMPTY LIST IS VALID):
-- Each item MUST be anchored to either: (a) a specific PRECOMPUTED EDGE SIGNAL (cite the SIG-n label), OR (b) a verbatim quote from transcript/filing cross-referenced with another source.
+If the signal is a conflict between two present data points, it belongs in `analytical_tensions`. If it is about what is absent, evasive, or de-emphasized, it belongs here.
+- Each item MUST be anchored to either: (a) a specific PRECOMPUTED EDGE SIGNAL (cite the SIG-n label, confirmed by at least one tool-retrieved chunk in this conversation), OR (b) a verbatim quote from transcript/filing cross-referenced with another source.
 - `observation`: what is literally said, present, or notably absent — one sentence, specific.
-- `reading`: what this signals to an expert — what it conceals or implies, one sentence, no generic platitudes.
+- `reading`: what this signals to an expert — what it conceals, one sentence, no generic platitudes.
 - `signal_type`: exactly one of language_drift / qa_evasion / omission / emphasis_shift / accounting_quality.
 - `implication`: the concrete forward-looking thing to monitor — one sentence starting with "Watch for" or "Monitor" or "If [X], then [Y]".
 - `evidence`: SourcedFact with verbatim quote ≤30 words.
@@ -484,8 +488,9 @@ def language_directive(language: str) -> str:
 Write ALL prose / narrative fields in **{language}**. This includes:
 `what_matters_most`, `non_obvious_takeaway`, `text` (in every list item),
 `rationale`, `summary`, `headline`, `bullish_reading`, `bearish_reading`,
-`language_shift`, `key_quote.text`, `actual_result`, `topic`, and every
-string in `what_to_watch` and `evidence_notes`.
+`language_shift`, `key_quote.text`, `actual_result`, `topic`, every
+string in `what_to_watch` and `evidence_notes`, and `observation`, `reading`,
+`implication` (in every `between_the_lines` item).
 
 The following fields MUST remain in **English** exactly as defined in the schema:
 - Enum / controlled-vocabulary fields: `source` (10-K / 10-Q / transcript / news),