Medium Risk

speclock_set_goal

Set or update the project goal.

Part of the SpecLock - AI Constraint Engine server.

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

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AI agents use speclock_set_goal to create or modify resources in SpecLock - AI Constraint Engine. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call speclock_set_goal repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach SpecLock - AI Constraint Engine.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "speclock_set_goal": {
      "limits": [
        {
          "counter": "speclock_set_goal_rate",
          "window": "minute",
          "max": 30,
          "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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These attack patterns abuse exactly the kind of access speclock_set_goal 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_set_goal only ever does what you allow.

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

What does the speclock_set_goal tool do? +

Set or update the project goal.. It is categorised as a Write tool in the SpecLock - AI Constraint Engine MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on speclock_set_goal? +

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

speclock_set_goal is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit speclock_set_goal? +

Yes. Add a rate_limit block to the speclock_set_goal 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_set_goal completely? +

Set action: deny in the PolicyLayer policy for speclock_set_goal. 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_set_goal? +

speclock_set_goal 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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