Executes a SOSL search against Salesforce
AI agents call run_sosl_search to retrieve information from Salesforce without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
SOSL is a search language in Salesforce that only retrieves data and has no side effects. It cannot modify, delete, or create records. The tool's purpose is purely to search and return results, placing it firmly in the Read category.
From the tool's definition 'Executes a SOSL search against Salesforce' — SOSL (Salesforce Object Search Language) is a read-only search/query language used to retrieve data from Salesforce
Attacks that exploit this kind of access
Executes a SOSL search against Salesforce. It is categorised as a Read tool in the Salesforce MCP Server, which means it retrieves data without modifying state.
Register the Salesforce MCP server in PolicyLayer and add a rule for run_sosl_search: 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. Nothing to install.
run_sosl_search 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 run_sosl_search 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 run_sosl_search. 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.
run_sosl_search is provided by the Salesforce MCP server (leilaabdel/mcp-salesforce). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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