Run the full Agentforce Capability Scan (26 SAST rules across 9 categories) against the current project. Returns SARIF-structured violations covering action configuration, agent script safety, grounding security, structural dependencies, flow/prompt template security, supply chain, agentic archit...
AI agents invoke scan_agentforce to trigger actions in Squirex Dev. 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.
This tool executes a SAST scanning process against the current project, triggering external analysis operations. It is not merely reading static data but actively running code/analysis pipelines across the project. Misuse or misconfiguration could expose sensitive metadata or cause unintended disclosure of security findings.
From the tool's definition 'Run the full Agentforce Capability Scan (26 SAST rules across 9 categories) against the current project' — actively executes a scan operation against project files
Attacks that exploit this kind of access
Run the full Agentforce Capability Scan (26 SAST rules across 9 categories) against the current project. Returns SARIF-structured violations covering action configuration, agent script safety, grounding security, structural dependencies, flow/prompt template security, supply chain, agentic architecture, instruction integrity, and operational reliability. It is categorised as a Execute tool in the Squirex Dev MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Squirex Dev MCP server in PolicyLayer and add a rule for scan_agentforce: 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 Squirex Dev. Nothing to install.
scan_agentforce 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 scan_agentforce 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 scan_agentforce. 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.
scan_agentforce is provided by the Squirex Dev MCP server (squirex-dev/squirex-mcp). 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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