# symbolic_execute

Explore execution paths symbolically to find edge cases, dead code, and unreachable branches.

Agent View of the PolicyLayer registry record for `symbolic_execute`. HTML page: https://policylayer.com/tools/3d-tech-solutions-code-scalpel/symbolic-execute

## Facts

- Tool: `symbolic_execute`
- Server: Code Scalpel (`3d-tech-solutions/code-scalpel`) — https://policylayer.com/tools/3d-tech-solutions-code-scalpel.md
- Homepage: https://github.com/3D-Tech-Solutions/code-scalpel
- Risk category: Execute (High risk)
- Registry record: grade D, identity unverified
- Server rate-limited: no
- Parameters: 0
- Recommended policy verdict: Rate-limited

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "symbolic_execute",
    "arguments": {}
  }
}
```

## Why symbolic_execute is rated High

This tool executes symbolic analysis on code, simulating execution paths to discover properties about program behavior. While it is not shell command execution or triggering external operations, it does perform computational analysis by running/evaluating code semantics.

From the tool's own definition: "Tool performs 'symbolic execution' which explores code execution paths. Symbolic execution is a dynamic analysis technique that traces and evaluates program behavior."

## Use case

AI agents invoke symbolic_execute to trigger actions in Code Scalpel. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Code Scalpel:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "symbolic_execute": {
      "limits": [
        {
          "counter": "symbolic_execute_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}
```

## Other tools on Code Scalpel (3)

- `simulate_refactor` — Execute — https://policylayer.com/tools/3d-tech-solutions-code-scalpel/simulate-refactor.md
- `analyze_code` — Read — https://policylayer.com/tools/3d-tech-solutions-code-scalpel/analyze-code.md
- `unified_sink_detect` — Read — https://policylayer.com/tools/3d-tech-solutions-code-scalpel/unified-sink-detect.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

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Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=3d-tech-solutions-code-scalpel · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/3d-tech-solutions-code-scalpel
