# ULTRAPLAN: Achieving Full Functionality for All 44 Regen Network MCP Tools
**Date:** 2025-10-17
**Current Status:** 24/44 tools working (55%)
**Target:** 100% functionality where technically possible
---
## Executive Summary
After comprehensive testing and deep codebase analysis, I've identified the root causes of all 20 failed tools. The issues fall into three categories:
1. **Code-Level Bugs (CAN FIX):** 3-6 tools - Pagination validation errors and potential analytics bugs
2. **Server-Side Limitations (CANNOT FIX):** 14 tools - HTTP 501/500 errors from missing/broken endpoints
3. **Unknown/Investigation Needed (MIGHT FIX):** 0-3 tools - Analytics tools need deeper investigation
**Key Insight:** We can likely restore 3-9 additional tools through code fixes, bringing us to **27-33/44 (61-75%)** working. The remaining 11-17 tools require server-side changes outside our control.
---
## Part 1: Project Understanding
### Vision & Intent
From @docs/regen_mcp_thesis.md:
> "Unlocking Ecological Intelligence: The Regen Network MCP Server as a Gateway to Autonomous Environmental Markets"
**Core Purpose:**
- Enable AI agents to interact directly with environmental markets
- Provide structured programmatic access to Regen Network's ecological credit system
- Bridge gap between on-ground ecological work and global markets
- Support 12 distinct credit classes across 5 credit types (Carbon, Biodiversity, KSH, MBS, USS)
**Strategic Value:**
- **56 active projects** spanning jurisdictions from CD-MN to US states
- **74 credit batches** with vintages from 2012-2034
- **26 active sell orders** in marketplace
- **216.3T uregen** total supply with **22,908 accounts**
- **3.46T uregen** community pool for governance
### Best Parts of Repository
1. **Solid Foundation:**
- Well-structured client layer with retry logic and endpoint fallback (regen_client.py:63-1328)
- Comprehensive Pydantic models for type safety (models/)
- Proper error handling and logging throughout
- Good test coverage structure (tests/)
2. **Working Functionality:**
- Governance module (75% working) - Proposal tracking, voting, tallies
- Ecocredits module (67% working) - Credit types, classes, projects, batches
- Bank module (64% working) - Account queries, supply info, token metadata
3. **Advanced Features:**
- Sophisticated analytics tools for portfolio impact analysis (analytics_tools.py)
- 10 interactive prompts for guided workflows (prompts/)
- Caching system for performance optimization (cache/)
- Health monitoring and metrics (monitoring/)
4. **Documentation:**
- Clear docstrings throughout
- Comprehensive test results documentation
- Well-articulated project thesis
### Worst Aspects of Repository
1. **Critical Bugs:**
- Pagination model rejects `None` for optional boolean fields (regen_client.py:42-43)
- Potential analytics tool registration/invocation issues
- Inconsistent error handling in some tools
2. **Incomplete Testing:**
- No integration tests for failed endpoints
- Missing validation of API responses against actual server behavior
- Analytics tools not properly tested with real data
3. **Server Dependency Gaps:**
- 14 tools depend on non-existent or broken server endpoints
- No fallback strategies for missing endpoints
- No documentation of endpoint availability
4. **Architecture Issues:**
- Tight coupling between tools and specific API endpoints
- No abstraction layer for server-side limitations
- Limited error recovery strategies
### Structural Patterns
```
Project Structure:
├── src/mcp_server/ # Core MCP server implementation
│ ├── client/regen_client.py # Blockchain API client (1328 lines)
│ ├── models/ # Pydantic data models
│ │ ├── bank.py # Bank module models + pagination bug
│ │ ├── credit.py # Credit models
│ │ ├── marketplace.py # Marketplace models
│ │ └── analytics.py # Analytics response models
│ ├── tools/ # MCP tool implementations
│ │ ├── bank_tools.py # 456 lines, 11 tools, 7 working
│ │ ├── distribution_tools.py # 9 tools, 5 working
│ │ ├── governance_tools.py # 8 tools, 6 working
│ │ ├── marketplace_tools.py # 5 tools, 2 working
│ │ ├── credit_tools.py # 6 tools, 4 working
│ │ ├── basket_tools.py # 5 tools, 0 working
│ │ └── analytics_tools.py # 918 lines, 3 tools, 0 working
│ ├── prompts/ # 10 interactive guided workflows
│ ├── resources/ # Dynamic MCP resources
│ ├── cache/ # Performance caching layer
│ └── server.py # FastMCP server registration
├── tests/ # Test suite
│ ├── tools/ # Tool-specific tests
│ └── e2e/ # End-to-end user journey tests
└── docs/ # Documentation
```
**Key Pattern:** Layered architecture with clear separation:
1. Client layer (API interaction)
2. Model layer (data validation)
3. Tool layer (MCP interface)
4. Server layer (MCP registration)
---
## Part 2: Root Cause Analysis (All 20 Failed Tools)
### Category A: Code-Level Bugs (CAN FIX - 3-6 tools)
#### Issue #1: Pagination Boolean Validation Error (3 tools)
**Location:** `src/mcp_server/client/regen_client.py:37-44`
**Root Cause:**
```python
class Pagination(BaseModel):
limit: int = Field(default=100, ge=1, le=1000)
offset: int = Field(default=0, ge=0)
count_total: bool = Field(default=True) # ❌ Should be Optional[bool]
reverse: bool = Field(default=False) # ❌ Should be Optional[bool]
```
**Problem:** When bank_tools.py (lines 100-102, 158-163, 213-218) creates Pagination objects with `count_total=None` and `reverse=None`, Pydantic validation fails because `bool` type doesn't accept `None`.
**Affected Tools:**
1. `get_all_balances` - src/mcp_server/tools/bank_tools.py:58-116
2. `get_spendable_balances` - src/mcp_server/tools/bank_tools.py:119-177
3. `get_total_supply` - src/mcp_server/tools/bank_tools.py:180-232
**Evidence from Test:**
```
"error": "Validation error: 2 validation errors for Pagination\ncount_total\n Input should be a valid boolean..."
```
**Fix Difficulty:** EASY - Single line change per field
**Impact:** Restores 3 tools immediately
---
#### Issue #2: Advanced Analytics Parameter Bugs (0-3 tools)
**Location:** `src/mcp_server/tools/analytics_tools.py` (multiple functions)
**Root Cause:** UNCLEAR - Test errors suggest parameter mismatch but code analysis shows correct usage
**Test Error Messages:**
```
"message": "RegenClient.query_all_balances() got an unexpected keyword argument 'limit'"
"message": "RegenClient.query_sell_orders() got an unexpected keyword argument 'limit'"
"message": "RegenClient.query_credit_classes() got an unexpected keyword argument 'limit'"
```
**Code Analysis:** Lines 49-52, 378-381, 601-604 show correct Pagination object creation and usage
**Affected Tools:**
1. `analyze_portfolio_impact` - analytics_tools.py:17-351
2. `analyze_market_trends` - analytics_tools.py:354-577
3. `compare_credit_methodologies` - analytics_tools.py:580-866
**Hypotheses:**
1. **Stale code hypothesis:** Old version of client methods cached somewhere
2. **Registration issue:** Analytics tool registration has parameter mapping problem
3. **Misleading error:** Actual error is different, message is confusing
4. **Test artifact:** Error only occurs in specific test conditions
**Investigation Needed:**
- Run analytics tools directly outside of test harness
- Check for multiple Regen client instances
- Verify MCP tool parameter passing
- Review analytics_tool_registration.py:20-112 execution
**Fix Difficulty:** MEDIUM - Requires debugging
**Impact:** Could restore 0-3 tools (30-50% chance of success)
---
### Category B: Server-Side Limitations (CANNOT FIX - 14 tools)
#### Issue #3: Baskets Module - Complete Endpoint Failure (5 tools)
**HTTP Error:** 501 Not Implemented
**Endpoints Missing:**
- `/regen/ecocredit/v1/baskets` (list)
- `/regen/ecocredit/v1/basket/{denom}` (get)
- `/regen/ecocredit/v1/basket/{denom}/balances` (list balances)
- `/regen/ecocredit/v1/basket/{denom}/balance/{batch}` (get balance)
- `/regen/ecocredit/v1/basket-fee` (get fee)
**Affected Tools:**
1. `list_baskets` - basket_tools.py:21-52
2. `get_basket` - basket_tools.py:55-81
3. `list_basket_balances` - basket_tools.py:84-119
4. `get_basket_balance` - basket_tools.py:122-158
5. `get_basket_fee` - basket_tools.py:179-204 (also in credit_tools if duplicated)
**Evidence:** All 5 Regen Network REST endpoints tested return HTTP 501
**Server Status:** Basket functionality not implemented in current Regen Network version
**Workaround Potential:** NONE - Fundamental feature missing
---
#### Issue #4: Validator Distribution Queries (4 tools)
**HTTP Errors:** 500 Internal Server Error, 400 Bad Request
**Endpoints Failing:**
- `/cosmos/distribution/v1beta1/validators/{address}/outstanding_rewards` (500)
- `/cosmos/distribution/v1beta1/validators/{address}/commission` (500)
- `/cosmos/distribution/v1beta1/validators/{address}/slashes` (400)
- `/cosmos/distribution/v1beta1/delegators/{delegator}/rewards/{validator}` (500)
**Affected Tools:**
1. `get_validator_outstanding_rewards` - distribution_tools.py
2. `get_validator_commission` - distribution_tools.py
3. `get_validator_slashes` - distribution_tools.py
4. `get_delegation_rewards` - distribution_tools.py
**Root Cause Hypotheses:**
1. Validator address format incorrect (tested `regenvaloper1...` format - should be correct)
2. Validator not active/registered
3. Server-side query optimization disabled
4. Module version mismatch
**Fix Difficulty:** HARD - Requires server-side investigation or validator address validation
**Workaround:** Validate validator addresses before querying, provide better error messages
---
#### Issue #5: Marketplace Filtered Queries (3 tools)
**HTTP Error:** 501 Not Implemented
**Endpoints Missing:**
- `/regen/ecocredit/marketplace/v1/sell-orders-by-batch` (501)
- `/regen/ecocredit/marketplace/v1/sell-orders-by-seller` (501)
- `/regen/ecocredit/marketplace/v1/allowed-denoms` (500)
**Affected Tools:**
1. `list_sell_orders_by_batch` - marketplace_tools.py
2. `list_sell_orders_by_seller` - marketplace_tools.py
3. `list_allowed_denoms` - marketplace_tools.py
**Server Status:** Filtered marketplace queries not implemented
**Workaround:** Use `list_sell_orders` and filter client-side (already works, 26 orders found)
---
#### Issue #6: Single Balance Query (1 tool)
**HTTP Error:** 501 Not Implemented
**Endpoint Missing:**
- `/cosmos/bank/v1beta1/balances/{address}/{denom}` (501)
**Affected Tool:**
1. `get_balance` - bank_tools.py:24-55
**Workaround:** Use `get_all_balances` and filter, or use `get_denom_owners` to find balance
---
#### Issue #7: List Allowed Denoms (1 tool - duplicate from #5)
Already counted in Issue #5
---
### Summary of Fixable Tools
| Issue | Tools | Difficulty | Success Probability | Time Estimate |
|-------|-------|------------|---------------------|---------------|
| Pagination Bug | 3 | EASY | 100% | 15 minutes |
| Analytics Bugs | 3 | MEDIUM | 30-50% | 2-4 hours |
| **Total Fixable** | **6** | **MIXED** | **75-88%** | **2.5-4.5 hours** |
**Best Case:** Restore 6 tools → 30/44 working (68%)
**Likely Case:** Restore 3-4 tools → 27-28/44 working (61-64%)
**Worst Case:** Restore 3 tools → 27/44 working (61%)
---
## Part 3: Comprehensive Fix Strategy
### Phase 1: Quick Wins (15 minutes - Guaranteed Success)
#### Fix #1: Pagination Boolean Fields
**File:** `src/mcp_server/client/regen_client.py`
**Lines:** 42-43
**Change:**
```python
# BEFORE
class Pagination(BaseModel):
limit: int = Field(default=100, ge=1, le=1000)
offset: int = Field(default=0, ge=0)
count_total: bool = Field(default=True, description="Whether to return total count")
reverse: bool = Field(default=False, description="Whether to reverse the order")
# AFTER
class Pagination(BaseModel):
limit: int = Field(default=100, ge=1, le=1000)
offset: int = Field(default=0, ge=0)
count_total: Optional[bool] = Field(default=True, description="Whether to return total count")
reverse: Optional[bool] = Field(default=False, description="Whether to reverse the order")
```
**Import Required:**
```python
from typing import Any, Dict, List, Optional, Union # Add Optional if not present
```
**Tests to Run:**
```bash
pytest tests/tools/test_bank_tools.py::test_get_all_balances -v
pytest tests/tools/test_bank_tools.py::test_get_spendable_balances -v
pytest tests/tools/test_bank_tools.py::test_get_total_supply -v
```
**Expected Outcome:** 3 tools restored immediately
---
### Phase 2: Analytics Investigation & Fix (2-4 hours - 30-50% Success)
#### Step 1: Reproduce Analytics Errors
**Test Script:**
```python
# Create: test_analytics_direct.py
import asyncio
from src.mcp_server.tools.analytics_tools import (
analyze_portfolio_impact,
analyze_market_trends,
compare_credit_methodologies
)
async def test_portfolio_impact():
result = await analyze_portfolio_impact("regen1qqy8su5mf4tlm9h36fgf2p43gdtnu4ka8gmjmg", "full")
print("Portfolio Impact Result:", result)
async def test_market_trends():
result = await analyze_market_trends("30d", None)
print("Market Trends Result:", result)
async def test_methodology_comparison():
result = await compare_credit_methodologies(["C01", "C02"])
print("Methodology Comparison Result:", result)
async def main():
await test_portfolio_impact()
await test_market_trends()
await test_methodology_comparison()
if __name__ == "__main__":
asyncio.run(main())
```
**Run:**
```bash
cd /home/ygg/Workspace/sandbox/regen-python-mcp
python test_analytics_direct.py
```
**Analyze:**
- If errors reproduce: Fix the actual bug
- If no errors: Issue is in MCP tool registration or parameter passing
- If different error: Update understanding and fix accordingly
#### Step 2: Potential Fixes (Based on Investigation)
**Hypothesis A: Client Method Signature Issue**
Check if old client instance cached:
```python
# Add to analytics_tools.py top
from ..client.regen_client import close_regen_client
# Before first use in each function
await close_regen_client() # Force fresh client
client = get_regen_client()
```
**Hypothesis B: MCP Tool Registration Issue**
Verify parameter passing in server.py:
```python
# Check server registration matches tool signatures exactly
```
**Hypothesis C: Pagination Object Issue**
Add explicit type validation:
```python
# In analytics_tools.py before client calls
if not isinstance(pagination, Pagination):
pagination = Pagination(limit=pagination.get('limit', 1000), offset=pagination.get('offset', 0))
```
#### Step 3: Incremental Testing
Test each fix:
```bash
pytest tests/tools/test_analytics_tools.py -v -s
```
Document results:
- What was the actual bug?
- Which hypothesis was correct?
- Any side effects?
---
### Phase 3: Server-Side Workarounds & Documentation (30 minutes)
#### Workaround #1: Marketplace Filtering
**File:** `src/mcp_server/tools/marketplace_tools.py`
**Add client-side filtering helper:**
```python
async def list_sell_orders_by_batch_clientside(
batch_denom: str,
limit: int = 100,
page: int = 1
) -> Dict[str, Any]:
"""List sell orders for batch (client-side filtering fallback).
Since server endpoint not implemented, fetches all orders and filters.
"""
try:
# Get all orders
all_orders = await list_sell_orders(limit=1000, page=1)
# Filter by batch
filtered_orders = [
order for order in all_orders.get("sell_orders", [])
if order.get("batch_denom") == batch_denom
]
# Apply pagination
start = (page - 1) * limit
end = start + limit
paginated = filtered_orders[start:end]
return {
"sell_orders": paginated,
"pagination": {
"total": len(filtered_orders),
"filtered_total": len(filtered_orders),
"source_total": all_orders.get("pagination", {}).get("total", 0)
},
"success": True,
"note": "Server endpoint not available - using client-side filtering"
}
except Exception as e:
logger.error(f"Error in client-side filtering: {e}")
return {
"error": str(e),
"success": False,
"note": "Both server endpoint and client-side filtering failed"
}
```
#### Workaround #2: Validator Address Validation
**File:** `src/mcp_server/tools/distribution_tools.py`
**Add pre-flight validation:**
```python
async def get_validator_outstanding_rewards(validator_address: str) -> Dict[str, Any]:
"""Get validator outstanding rewards with validation."""
try:
# Validate validator address format
if not validator_address.startswith("regenvaloper1"):
return {
"error": "Invalid validator address format",
"expected": "regenvaloper1...",
"provided": validator_address,
"suggestion": "Use list_validators to find valid addresses"
}
# Try query with better error handling
client = get_regen_client()
response = await client.get_validator_outstanding_rewards(validator_address)
return response
except NetworkError as e:
if "500" in str(e):
return {
"error": "Server error querying validator rewards",
"validator_address": validator_address,
"note": "Validator may not be active or server query disabled",
"suggestion": "Verify validator is active using explorer: https://www.mintscan.io/regen/validators",
"technical_error": str(e)
}
raise
```
#### Documentation Update
**File:** `.claude/docs/tool_limitations.md` (new file)
Document all non-fixable limitations:
```markdown
# Regen Network MCP Tool Limitations
## Server-Side Endpoint Limitations
### Baskets Module (5 tools)
**Status:** Not Implemented (HTTP 501)
**Reason:** Basket functionality not available in current Regen Network version
**Workaround:** None available
**Future:** May be implemented in future network upgrade
### Validator Distribution Queries (4 tools)
**Status:** Server Error (HTTP 500)
**Reason:** Unknown - possible validator state or query optimization issue
**Workaround:** Validate addresses, check validator status on explorer
**Future:** Requires server-side investigation
[... document all limitations ...]
```
---
### Phase 4: Comprehensive Testing (30 minutes)
#### Test Plan
**1. Unit Tests:**
```bash
# Test pagination fix
pytest tests/tools/test_bank_tools.py -v
# Test analytics (if fixed)
pytest tests/tools/test_analytics_tools.py -v
# Test all modules
pytest tests/tools/ -v
```
**2. Integration Tests:**
```bash
# Test with real addresses
pytest tests/integration/test_user_journeys.py -v
```
**3. MCP Server Test:**
```bash
# Start server
uv run python main.py
# In another terminal - test with Claude
mcp__regen-network__get_all_balances(
address="regen1qqy8su5mf4tlm9h36fgf2p43gdtnu4ka8gmjmg",
limit=20,
page=1
)
```
**4. Update Test Results:**
```bash
# Re-run comprehensive test
# Update .claude/docs/mcp_tools_test_results.md with new results
```
---
### Phase 5: Code Quality & Future-Proofing (30 minutes)
#### Improvement #1: Robust Error Handling
Add standardized error response format:
```python
# src/mcp_server/models/errors.py (new file)
from pydantic import BaseModel
from typing import Optional, Literal
class ToolError(BaseModel):
success: bool = False
error_type: Literal["validation", "network", "server", "not_implemented"]
error_message: str
technical_details: Optional[str] = None
user_suggestion: Optional[str] = None
workaround_available: bool = False
workaround_description: Optional[str] = None
```
#### Improvement #2: Endpoint Health Check
Add tool availability checker:
```python
# src/mcp_server/tools/health.py (new file)
async def check_tool_availability() -> Dict[str, Any]:
"""Check which tools are currently functional."""
results = {
"bank_module": {},
"distribution_module": {},
"governance_module": {},
"marketplace_module": {},
"ecocredit_module": {},
"baskets_module": {},
"analytics_module": {}
}
# Test each module
# Return availability matrix
return results
```
#### Improvement #3: Caching for Failed Endpoints
Don't retry known-broken endpoints:
```python
# src/mcp_server/cache/endpoint_cache.py
KNOWN_BROKEN_ENDPOINTS = {
"/regen/ecocredit/v1/baskets": "HTTP 501 - Not Implemented",
"/cosmos/bank/v1beta1/balances/{address}/{denom}": "HTTP 501 - Not Implemented",
# ... etc
}
def should_skip_endpoint(endpoint: str) -> bool:
return endpoint in KNOWN_BROKEN_ENDPOINTS
```
---
## Part 4: Actionable Implementation Plan
### Timeline & Dependencies
```
Phase 1: Quick Wins (15 min)
├─> Pagination fix
└─> Test 3 bank tools
Phase 2: Analytics (2-4 hours)
├─> Reproduce errors
├─> Identify bug
├─> Implement fix
└─> Test 3 analytics tools
Phase 3: Workarounds (30 min)
├─> Client-side filtering
├─> Better error messages
└─> Documentation
Phase 4: Testing (30 min)
├─> Unit tests
├─> Integration tests
└─> Update results
Phase 5: Quality (30 min)
├─> Error handling
├─> Health checks
└─> Caching
Total Time: 4-6 hours
```
### Success Criteria
**Minimum Success (Guaranteed):**
- ✅ 3 bank tools fixed (pagination)
- ✅ Documentation updated
- ✅ Tests passing
- **Result:** 27/44 tools (61%)
**Target Success (Likely):**
- ✅ 3 bank tools fixed
- ✅ 1-2 analytics tools fixed
- ✅ Workarounds implemented
- ✅ Comprehensive documentation
- **Result:** 28-29/44 tools (64-66%)
**Maximum Success (Best Case):**
- ✅ 3 bank tools fixed
- ✅ 3 analytics tools fixed
- ✅ All workarounds implemented
- ✅ Health monitoring added
- ✅ Error handling improved
- **Result:** 30/44 tools (68%)
### Risk Mitigation
**Risk #1: Analytics bugs unfixable**
- Mitigation: Document thoroughly, provide alternatives
- Fallback: Mark as "known issues" with investigation notes
**Risk #2: Testing reveals new bugs**
- Mitigation: Comprehensive test suite before and after
- Fallback: Roll back changes, document findings
**Risk #3: MCP server integration issues**
- Mitigation: Test with actual MCP server, not just Python
- Fallback: Provide manual testing scripts
---
## Part 5: Post-Implementation
### Monitoring & Maintenance
**1. Add to CI/CD:**
```yaml
# .github/workflows/test.yml (if using GitHub Actions)
- name: Test MCP Tools
run: pytest tests/tools/ -v --cov=src/mcp_server/tools
```
**2. Regular Health Checks:**
```bash
# Weekly endpoint health check
./scripts/check_endpoint_health.sh
```
**3. Version Tracking:**
```markdown
## Tool Status by Version
### v0.2.0 (2025-10-17)
- Fixed: Pagination validation (3 tools)
- Fixed: Analytics parameter bugs (2-3 tools)
- Added: Client-side marketplace filtering
- Status: 28-30/44 tools working (64-68%)
### v0.1.0 (Initial)
- Status: 24/44 tools working (55%)
```
### Future Improvements
**When Regen Network Updates Server:**
1. Monitor Regen Network GitHub for releases
2. Test endpoints that currently return 501
3. Update documentation when endpoints become available
4. Potentially restore 10+ additional tools
**Upstream Contributions:**
1. Report endpoint availability issues to Regen Network team
2. Contribute endpoint implementations if possible
3. Share tool usage patterns for their roadmap
---
## Conclusion
This ultraplan provides a comprehensive, actionable strategy to maximize tool functionality within the constraints of the current Regen Network server implementation.
**Guaranteed Outcomes:**
- 3 tools fixed immediately (pagination)
- Clear documentation of all limitations
- Better error handling and user experience
- Workarounds for common use cases
**Potential Outcomes:**
- Up to 6 additional tools working (analytics + pagination)
- 68% tool functionality (30/44)
- Robust health monitoring
- Foundation for future improvements
**Key Success Factor:** Focus on what we CAN fix (code-level bugs) while gracefully handling what we CANNOT fix (server-side limitations).
---
## Appendix: Quick Reference
### Files to Modify
1. **MUST CHANGE:**
- `src/mcp_server/client/regen_client.py:42-43` (pagination fix)
2. **INVESTIGATE & POSSIBLY CHANGE:**
- `src/mcp_server/tools/analytics_tools.py` (analytics bugs)
- `src/mcp_server/tools/analytics_tool_registration.py` (registration)
3. **ENHANCE:**
- `src/mcp_server/tools/marketplace_tools.py` (workarounds)
- `src/mcp_server/tools/distribution_tools.py` (validation)
4. **CREATE:**
- `.claude/docs/tool_limitations.md` (documentation)
- `src/mcp_server/models/errors.py` (error handling)
- `src/mcp_server/tools/health.py` (monitoring)
### Commands to Run
```bash
# 1. Fix pagination
# Edit regen_client.py lines 42-43
# 2. Test immediately
pytest tests/tools/test_bank_tools.py::test_get_all_balances -v
# 3. Investigate analytics
python test_analytics_direct.py
# 4. Run full test suite
pytest tests/tools/ -v
# 5. Update documentation
# Edit mcp_tools_test_results.md with new results
# 6. Commit changes
git add -A
git commit -m "fix: resolve pagination validation and restore 3-6 tools"
```
---
**END OF ULTRAPLAN**
