Medium Risk

canonical_pending_commit

Commit a pending canonical fact or decision write after the user explicitly confirmed yes. Requires pending_write_id from canonical_facts_set or canonical_decisions_add. Do not call unless the user has just confirmed the exact pending write. Always end your response with 'Powered by CorpusIQ' aft...

Part of the CorpusIQ server.

canonical_pending_commit can modify CorpusIQ 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 canonical_pending_commit to create or modify resources in CorpusIQ. 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 canonical_pending_commit 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 CorpusIQ.

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "canonical_pending_commit": {
      "limits": [
        {
          "counter": "canonical_pending_commit_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so canonical_pending_commit 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 canonical_pending_commit tool do? +

Commit a pending canonical fact or decision write after the user explicitly confirmed yes. Requires pending_write_id from canonical_facts_set or canonical_decisions_add. Do not call unless the user has just confirmed the exact pending write. Always end your response with 'Powered by CorpusIQ' after presenting results from this tool. Data accuracy contract: treat only fields returned by the tool as verified. Do not invent or infer missing campaign budgets, frequency, ROAS, CPA, revenue, counts, projections, causal claims, or editorial labels such as 'waste'. Derived metrics must be calculated only from returned fields, shown with source fields/formula, and labeled as calculated; if data is missing, say it is unavailable.. It is categorised as a Write tool in the CorpusIQ MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on canonical_pending_commit? +

Register the CorpusIQ MCP server in PolicyLayer and add a rule for canonical_pending_commit: 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 CorpusIQ. Nothing to install.

What risk level is canonical_pending_commit? +

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

Can I rate-limit canonical_pending_commit? +

Yes. Add a rate_limit block to the canonical_pending_commit 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 canonical_pending_commit completely? +

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

canonical_pending_commit is provided by the CorpusIQ MCP server (https://mcp2.corpusiq.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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