List Blueprints owned by the calling account. Returns each Blueprint's name, workflow identifier, mode, and field/rule/constraint counts. Use the workflow_name as the 'blueprint' parameter when calling validate. Blueprint modes — important for agents that summarize results: - "observe" (Observati...
Risk signalsHandles credentials or secrets (api_key)
Part of the Governance Platform server.
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AI agents call list_blueprints to retrieve information from Governance Platform 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 list_blueprints 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.
{
"version": "1",
"default": "deny",
"tools": {
"list_blueprints": {}
}
}See the full Governance Platform policy for all 31 tools.
These attack patterns abuse exactly the kind of access list_blueprints gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
List Blueprints owned by the calling account. Returns each Blueprint's name, workflow identifier, mode, and field/rule/constraint counts. Use the workflow_name as the 'blueprint' parameter when calling validate. Blueprint modes — important for agents that summarize results: - "observe" (Observation mode): the platform validates data against the Blueprint's rules and returns PASS, FAIL, or REVIEW with repair suggestions. Validation is detection-only; the caller decides what to do with the result. - "enforce" (Execution mode): the platform performs the same validation AND authorizes downstream side effects. Side effects are blocked if validation fails. In this mode, rules that compute derived values (like totals) publish the platform's computed result as authoritative, so downstream consumers see the canonical value rather than the agent's. Both modes run the same rule checks. The difference is what happens after validation, not during it. Scope: only Blueprints created by the calling account are returned. Use validate / repair / etc. with the workflow_name to operate on them. Args: api_key: GeodesicAI API key (starts with gai_). It is categorised as a Read tool in the Governance Platform MCP Server, which means it retrieves data without modifying state.
Register the Governance Platform MCP server in PolicyLayer and add a rule for list_blueprints: 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.
list_blueprints is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_blueprints 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.
Set action: deny in the PolicyLayer policy for list_blueprints. 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.
list_blueprints 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.
Deterministic rules across all 31 Governance Platform tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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