sync_buy_rfq
Reconcile a Sanka Buy request with its linked procurement RFQ: ingest newly received vendor proposals into draft offer snapshots and refresh invitation state. Use this after source_buy_request with provider=procurement_rfq, and re-run it to poll for new proposals. The response is also the way to ...
This record as markdown: /tools/sankahq-sanka-mcp/sync-buy-rfq.md
What sync_buy_rfq does on Sanka MCP Server
AI agents invoke sync_buy_rfq to trigger actions in Sanka MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why sync_buy_rfq is rated High
This tool performs a synchronization/reconciliation operation that ingests vendor proposals and refreshes invitation state — it actively modifies system state (creating draft offer snapshots, updating invitation statuses) rather than just reading data. It's not purely destructive or financial, but it executes an external operation that triggers state changes on the Sanka platform.
From the tool's definition Reconcile a Sanka Buy request with its linked procurement RFQ: ingest newly received vendor proposals into draft offer snapshots and refresh invitation state
Attacks that exploit this kind of access
The rule that runs sync_buy_rfq safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Sanka MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For sync_buy_rfq, this is the rule to start with:
sync_buy_rfq stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Sanka MCP Server, apply this rule, and every sync_buy_rfq call is checked against it from then on.
Questions about sync_buy_rfq
Reconcile a Sanka Buy request with its linked procurement RFQ: ingest newly received vendor proposals into draft offer snapshots and refresh invitation state. Use this after source_buy_request with provider=procurement_rfq, and re-run it to poll for new proposals. The response is also the way to read current RFQ invitation status (invited, viewed, proposed, declined, expired, superseded); there is no separate invitation list endpoint. Compare the ingested offers with get_buy_sourcing_run or get_buy_request, then continue with select_buy_offer. It is categorised as a Execute tool in the Sanka MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Sanka MCP Server MCP server in PolicyLayer and add a rule for sync_buy_rfq: 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 Sanka MCP Server. Nothing to install.
sync_buy_rfq is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the sync_buy_rfq 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 sync_buy_rfq. 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.
sync_buy_rfq is provided by the Sanka MCP Server MCP server (sankahq/sanka-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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