Return the full model routing decision table for all 10 SDD pipeline phases.
AI agents call sdd_model_routing to retrieve information from Specky without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and returns a static decision table showing how models are routed across the 10 SDD pipeline phases. It has no write, execute, or destructive capabilities. Misuse risk is minimal as it only exposes internal configuration information.
From the tool's definition "Return the full model routing decision table" — purely retrieves and displays configuration/routing data with no side effects
Documented attack patterns abuse exactly the kind of access sdd_model_routing gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Specky, and nothing reaches the server without passing your rules. This is the rule we recommend for sdd_model_routing:
{
"version": "1",
"default": "deny",
"tools": {
"sdd_model_routing": {}
}
} sdd_model_routing is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Return the full model routing decision table for all 10 SDD pipeline phases. It is categorised as a Read tool in the Specky MCP Server, which means it retrieves data without modifying state.
Register the Specky MCP server in PolicyLayer and add a rule for sdd_model_routing: 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 Specky. Nothing to install.
sdd_model_routing 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 sdd_model_routing 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 sdd_model_routing. 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.
sdd_model_routing is provided by the Specky MCP server (paulasilvatech/specky). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Specky, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
56 Specky tools catalogued and risk-classified — across an index of 43,000+ MCP servers.