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chore(scripts): remove tool_call aliases and legacy tool discovery

These 4 scripts are redundant aliases and a tool that uses a
non-canonical MCP API path.

Removed (4 files, ~3.5 KB):
- scan_all_hints.py (2.0 KB) - only referenced in
  .claude/commands/mma-tier2-tech-lead.md (local AI tool config,
  not the project). The MMA workflow uses audit_weak_types.py.
- tool_call.bat (49 B) - cmd wrapper for tool_call.py
  (redundant with tool_call.ps1)
- tool_call.cmd (50 B) - cmd wrapper for tool_call.py
  (redundant with tool_call.ps1)
- tool_discovery.py (1.4 KB) - tool spec discovery using the
  legacy mcp_client.MCP_TOOL_SPECS API path (will be refactored
  by mcp_architecture_refactor_20260606)

Kept tool-call bridge: tool_call.cpp (source), tool_call.exe
(binary), tool_call.py (Python bridge), tool_call.ps1 (PowerShell).
This commit is contained in:
2026-06-07 10:46:15 -04:00
parent f5fc99f91f
commit 46ce3cd81d
4 changed files with 0 additions and 111 deletions
-59
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@@ -1,59 +0,0 @@
"""Scan all .py files for missing type hints. Writes scan_report.txt."""
import ast
import os
SKIP: set[str] = {'.git', '__pycache__', '.venv', 'venv', 'node_modules', '.claude', '.gemini'}
BASE: str = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
os.chdir(BASE)
results: dict[str, tuple[int, int, int, int]] = {}
for root, dirs, files in os.walk('.'):
dirs[:] = [d for d in dirs if d not in SKIP]
for f in files:
if not f.endswith('.py'):
continue
path: str = os.path.join(root, f).replace('\\', '/')
try:
with open(path, 'r', encoding='utf-8-sig') as fh:
tree = ast.parse(fh.read())
except Exception:
continue
counts: list[int] = [0, 0, 0] # nr, up, uv
def scan(scope: ast.AST, prefix: str = '') -> None:
# Iterate top-level nodes in this scope
for node in ast.iter_child_nodes(scope):
if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)):
if node.returns is None:
counts[0] += 1
for arg in node.args.args:
if arg.arg not in ('self', 'cls') and arg.annotation is None:
counts[1] += 1
elif isinstance(node, ast.Assign):
for t in node.targets:
if isinstance(t, ast.Name):
counts[2] += 1
elif isinstance(node, ast.ClassDef):
scan(node, prefix=f'{node.name}.')
scan(tree)
nr, up, uv = counts
total: int = nr + up + uv
if total > 0:
results[path] = (nr, up, uv, total)
lines: list[str] = []
lines.append(f'Files with untyped items: {len(results)}')
lines.append('')
lines.append(f'{"File":<58} {"NoRet":>6} {"Params":>7} {"Vars":>5} {"Total":>6}')
lines.append('-' * 85)
gt: int = 0
for path in sorted(results, key=lambda x: results[x][3], reverse=True):
nr, up, uv, t = results[path]
lines.append(f'{path:<58} {nr:>6} {up:>7} {uv:>5} {t:>6}')
gt += t
lines.append('-' * 85)
lines.append(f'{"TOTAL":<58} {"":>6} {"":>7} {"":>5} {gt:>6}')
report: str = '\n'.join(lines)
with open('scan_report.txt', 'w', encoding='utf-8') as f:
f.write(report)
-2
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@@ -1,2 +0,0 @@
@echo off
uv run python "%~dp0tool_call.py" %*
-2
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@@ -1,2 +0,0 @@
@echo off
uv run python scripts\tool_call.py %*
-48
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@@ -1,48 +0,0 @@
import json
import sys
import os
# Add project root and src/ to sys.path
project_root = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
sys.path.append(project_root)
sys.path.append(os.path.join(project_root, "src"))
try:
import mcp_client
except ImportError as e:
# Print the error to stderr to diagnose
print(f"ImportError in discovery: {e}", file=sys.stderr)
print("[]")
sys.exit(0)
def main() -> None:
specs = list(mcp_client.MCP_TOOL_SPECS)
# Add run_powershell (manually define to match ai_client.py)
specs.append({
"name": "run_powershell",
"description": (
"Run a PowerShell script within the project base_dir. "
"Use this to create, edit, rename, or delete files and directories. "
"The working directory is set to base_dir automatically. "
"stdout and stderr are returned to you as the result."
),
"parameters": {
"type": "object",
"properties": {
"script": {
"type": "string",
"description": "The PowerShell script to execute."
}
},
"required": ["script"]
}
})
# Rename 'parameters' to 'parametersJsonSchema' for Gemini CLI
for spec in specs:
if "parameters" in spec:
spec["parametersJsonSchema"] = spec.pop("parameters")
# Output as JSON array of FunctionDeclarations
print(json.dumps(specs, indent=2))
if __name__ == "__main__":
main()