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speclock_build_graph

Build/refresh code dependency graph from imports (JS/TS/Python).

Part of the SpecLock - AI Constraint Engine server.

speclock_build_graph can trigger actions in SpecLock - AI Constraint Engine, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke speclock_build_graph to trigger processes or run actions in SpecLock - AI Constraint Engine. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

speclock_build_graph can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "speclock_build_graph": {
      "limits": [
        {
          "counter": "speclock_build_graph_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full SpecLock - AI Constraint Engine policy for all 44 tools.

Get this rule live on your own SpecLock - AI Constraint Engine server in minutes. PolicyLayer enforces it on every call, before it runs.

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View all 44 tools →

These attack patterns abuse exactly the kind of access speclock_build_graph gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so speclock_build_graph only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the speclock_build_graph tool do? +

Build/refresh code dependency graph from imports (JS/TS/Python).. It is categorised as a Execute tool in the SpecLock - AI Constraint Engine MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on speclock_build_graph? +

Register the SpecLock - AI Constraint Engine MCP server in PolicyLayer and add a rule for speclock_build_graph: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches SpecLock - AI Constraint Engine. Nothing to install.

What risk level is speclock_build_graph? +

speclock_build_graph is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit speclock_build_graph? +

Yes. Add a rate_limit block to the speclock_build_graph rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block speclock_build_graph completely? +

Set action: deny in the PolicyLayer policy for speclock_build_graph. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides speclock_build_graph? +

speclock_build_graph is provided by the SpecLock - AI Constraint Engine MCP server (sgroy10/speclock). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every SpecLock - AI Constraint Engine tool call.

Deterministic rules across all 44 SpecLock - AI Constraint Engine tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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