browser_select_option
Pick option(s) in a native <select> dropdown. Pass value (matches the option's value attr) OR label (matches its visible text). Lists allowed for multi-select.
This record as markdown: /tools/io-github-saloprj-dialogbrain/browser-select-option.md
What browser_select_option does on Dialogbrain
AI agents invoke browser_select_option to trigger actions in Dialogbrain. 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
ref | string | Yes | |
label | object | — | |
value | object | — | |
page_id | string | Yes |
Parameters from the server's own tool schema.
Why browser_select_option is rated High
This tool performs a browser action by interacting with a UI element (select dropdown). Browser interactions are classified as Execute since they trigger external operations whose effects depend on the arguments passed.
From the tool's definition 'Pick option(s) in a native <select> dropdown' — triggers a browser UI interaction (selecting a dropdown option), which is a browser action with effects dependent on arguments
Attacks that exploit this kind of access
The rule that runs browser_select_option safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Dialogbrain, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For browser_select_option, this is the rule to start with:
browser_select_option 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 Dialogbrain, apply this rule, and every browser_select_option call is checked against it from then on.
Questions about browser_select_option
Pick option(s) in a native <select> dropdown. Pass value (matches the option's value attr) OR label (matches its visible text). Lists allowed for multi-select. It is categorised as a Execute tool in the Dialogbrain MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
browser_select_option accepts 4 parameters: ref, label, value, page_id. Required: ref, page_id. The full parameter table on this page comes from the server's own tool schema.
Register the Dialogbrain MCP server in PolicyLayer and add a rule for browser_select_option: 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 Dialogbrain. Nothing to install.
browser_select_option 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_option 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_option. 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_option is provided by the Dialogbrain MCP server (https://api.dialogbrain.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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