Low Risk

speclock_list_typed_locks

List all typed constraints with current thresholds.

Part of the SpecLock - AI Constraint Engine server.

speclock_list_typed_locks is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call speclock_list_typed_locks to retrieve information from SpecLock - AI Constraint Engine without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though speclock_list_typed_locks only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "speclock_list_typed_locks": {}
  }
}

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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These attack patterns abuse exactly the kind of access speclock_list_typed_locks 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_list_typed_locks only ever does what you allow.

SECURE SPECLOCK - AI CONSTRAINT ENGINE →

Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the speclock_list_typed_locks tool do? +

List all typed constraints with current thresholds.. It is categorised as a Read tool in the SpecLock - AI Constraint Engine MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on speclock_list_typed_locks? +

Register the SpecLock - AI Constraint Engine MCP server in PolicyLayer and add a rule for speclock_list_typed_locks: 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_list_typed_locks? +

speclock_list_typed_locks is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit speclock_list_typed_locks? +

Yes. Add a rate_limit block to the speclock_list_typed_locks 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_list_typed_locks completely? +

Set action: deny in the PolicyLayer policy for speclock_list_typed_locks. 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_list_typed_locks? +

speclock_list_typed_locks 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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