Medium Risk

submit_chain_stage

Submit data for a chain stage. The platform validates the data using the chain's Blueprint, then advances the chain if validation passes. The response includes the next stage info and any accumulated repair suggestions from prior stages. Sibling tools: create_chain (define the pipeline), submit_c...

Risk signalsHandles credentials or secrets (api_key)

Part of the Governance Platform server.

submit_chain_stage can modify Governance Platform 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 submit_chain_stage to create or modify resources in Governance Platform. 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 submit_chain_stage 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 Governance Platform.

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

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

See the full Governance Platform policy for all 31 tools.

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These attack patterns abuse exactly the kind of access submit_chain_stage 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 submit_chain_stage 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 submit_chain_stage tool do? +

Submit data for a chain stage. The platform validates the data using the chain's Blueprint, then advances the chain if validation passes. The response includes the next stage info and any accumulated repair suggestions from prior stages. Sibling tools: create_chain (define the pipeline), submit_chain_stage (advance through it), handoff_audit (verify between stages). Args: api_key: GeodesicAI API key (starts with gai_) chain_id: Chain identifier from create_chain stage: Stage name to submit for structured_data: Data for this stage. It is categorised as a Write tool in the Governance Platform MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on submit_chain_stage? +

Register the Governance Platform MCP server in PolicyLayer and add a rule for submit_chain_stage: 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 Governance Platform. Nothing to install.

What risk level is submit_chain_stage? +

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

Can I rate-limit submit_chain_stage? +

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

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

submit_chain_stage is provided by the Governance Platform MCP server (https://app.geodesiclabs.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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