sf_deploy_metadata
Deploys a set of metadata components directly to the org using the Metadata API SOAP deploy operation. Builds a package.xml and deployment zip in memory. Supports validate-only (checkOnly:true) for pre-deployment validation without making changes. Specify runTests to execute test classes during d...
This record as markdown: /tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-deploy-metadata.md
What sf_deploy_metadata does on Salesforce Metadata Mcp
AI agents invoke sf_deploy_metadata to trigger actions in Salesforce Metadata Mcp. 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 sf_deploy_metadata is rated High
This tool triggers deployment of metadata to a Salesforce organization, which is an external operation with effects depending on what metadata components are included in the deployment. While it supports validate-only mode (checkOnly:true), the primary function is to execute deployments that modify the org's state.
From the tool's definition "Deploys a set of metadata components directly to the org using the Metadata API SOAP deploy operation" and "Builds a package.xml and deployment zip in memory." This tool executes deployment operations that modify the organization's configuration and code.
Attacks that exploit this kind of access
The rule that runs sf_deploy_metadata safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Salesforce Metadata Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For sf_deploy_metadata, this is the rule to start with:
sf_deploy_metadata 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 Salesforce Metadata Mcp, apply this rule, and every sf_deploy_metadata call is checked against it from then on.
Questions about sf_deploy_metadata
Deploys a set of metadata components directly to the org using the Metadata API SOAP deploy operation. Builds a package.xml and deployment zip in memory. Supports validate-only (checkOnly:true) for pre-deployment validation without making changes. Specify runTests to execute test classes during deployment (required for production). Polls until complete or timeout. It is categorised as a Execute tool in the Salesforce Metadata Mcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Salesforce Metadata MCP server in PolicyLayer and add a rule for sf_deploy_metadata: 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 Salesforce Metadata Mcp. Nothing to install.
sf_deploy_metadata 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 sf_deploy_metadata 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 sf_deploy_metadata. 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.
sf_deploy_metadata is provided by the Salesforce Metadata MCP server (salesforce-metadata-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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