browser_select
Select an option from a dropdown.
This record as markdown: /tools/freshdesk/browser-select.md
What browser_select does on Freshdesk
AI agents invoke browser_select to trigger actions in Freshdesk. 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 browser_select is rated High
This tool performs a browser action (selecting from a dropdown UI element), which is an interactive operation that triggers external effects depending on the chosen option. Browser interactions fall under Execute category as they manipulate UI state and can trigger downstream workflows. Severity is medium because the actual impact depends on what the dropdown controls, which is unknown from the description alone.
From the tool's definition Select an option from a dropdown
Attacks that exploit this kind of access
The rule that runs browser_select safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Freshdesk, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For browser_select, this is the rule to start with:
browser_select 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 Freshdesk, apply this rule, and every browser_select call is checked against it from then on.
Questions about browser_select
Select an option from a dropdown. It is categorised as a Execute tool in the Freshdesk MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Freshdesk MCP server in PolicyLayer and add a rule for browser_select: 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 Freshdesk. Nothing to install.
browser_select 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 browser_select 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 browser_select. 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.
browser_select is provided by the Freshdesk MCP server (@mindstone-engineering/mcp-server-freshdesk). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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