Enhance context.json structure and update READMEs for new agent features and planning status

Agent2_Outlet_Fit/README.md

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+## STATUS: 🚧 IN PLANNING PHASE
+This tool is currently in the planning and development phase. It aims to serve two key purposes:
+1. Help reviewers evaluate manuscripts against specific journal/conference criteria
+2. Assist journals and conferences in desk rejection decisions by providing automated preliminary screening
+3. Enable researchers to pre-check their manuscripts against target outlet requirements before submission
+
+## GAMEPLAN: Agen2_outletfit
+
+## 🎯 INPUTS:
+- journal_query: A string representing a journal, e.g., "I want to publish at NPJ Digital Medicine" found in context folder
+- manuscript_pdf: A PDF academic manuscript to be evaluated found in manuscripts folder
+
+---
+
+## FUNCTIONAL LAYERS & AGENT SPECIFICATIONS:
+
+
+### 1. OUTLET RESEARCH AGENTS
+Goal: Automatically extract journal-specific publishing criteria from online sources.
+
+**Agents:**
+- PolicyCrawlerAgent: Scrapes official submission guidelines, formatting, ethics, and referencing requirements.
+- ScopeAnalyzerAgent: Analyzes the journal's aims and scope to determine topical fit.
+- EditorialBehaviorAgent: Uses recent articles (titles, abstracts) to infer preferred methodologies and topics.
+- LanguageStyleAgent: Learns linguistic norms (hedging, tone, formality) from past published texts.
+- ImpactNoveltyAgent: Extracts what kinds of novelty or significance are expected.
+- ReviewerExpectationAgent: Simulates or extracts typical reviewer priorities (optional).
+
+---
+
+### 2. CRITERIA SYNTHESIS AGENTS
+Goal: Convert raw data into structured, weighted publishing criteria.
+
+**Agents:**
+- CriteriaGeneratorAgent: Translates scraped data into JSON/YAML schemas for validation.
+- CriteriaWeightingAgent: Assigns priorities or must-have/optional tags to criteria.
+- RiskHeuristicAgent: Estimates desk-rejection risk based on missing or weak components.
+
+---
+
+### 3. MANUSCRIPT EVALUATION AGENTS
+Goal: Assess the manuscript against journal-specific requirements.
+
+**Agents:**
+- PDFParserAgent: Extracts and segments text from the manuscript PDF.
+- SectionValidatorAgent: Verifies section presence, structure, and ordering.
+- ScopeFitAgent: Checks if manuscript topic aligns with journal scope (via semantic similarity).
+- LanguageConformityAgent: Assesses tone and style match with outlet norms.
+- ReferenceStyleCheckerAgent: Verifies correct citation and formatting style.
+- OverallFitSummaryAgent: Outputs a summary of compliance, risks, and improvement suggestions.
+
+---
+
+## 🧱 ARCHITECTURE:
+Use LangChain or CrewAI to orchestrate agents.
+
+Each agent should:
+- Be modular and reusable
+- Accept clearly defined input/output types
+- Use tools such as:
+  - Playwright, BeautifulSoup → web scraping
+  - FAISS, OpenAI Embeddings → semantic matching
+  - PyMuPDF or GROBID → PDF parsing
+  - LLM API → reasoning and language evaluation
+
+---
+
+## ✅ OUTPUT:
+A JSON report that includes:
+- ✔️ Fulfilled requirements
+- ❌ Missing elements
+- 📈 Desk rejection likelihood (1-5 scale)
+- ✍️ Specific suggestions to better fit the journal
+
+---
+
+## GOAL:
+Build a multiagent pipeline that automatically reverse-engineers a target outlet's expectations and assesses a manuscript's fit. The tool serves three key purposes:
+
+1. **For Reviewers**: Streamline the review process by automatically checking manuscripts against journal/conference criteria
+2. **For Journals/Conferences**: Support desk rejection decisions by providing automated preliminary screening
+3. **For Researchers**: Enable pre-submission self-assessment to identify potential issues before formal submission
+
+This comprehensive approach aims to reduce desk rejection risk, improve submission strategy, and make the peer review process more efficient for all stakeholders.