input.click_target
Left/right/middle-click a UIA target by id from the latest screen.observe (uses native center coords). Prefer over input.click_xy. Side effect: real mouse click on the remote Windows desktop. Do not reuse target_id after the screen may have changed — re-observe first. For click→type→keys sequence...
This record as markdown: /tools/com-glasswarp-mcp-server/input.click-target.md
What input.click_target does on Glasswarp
AI agents invoke input.click_target to trigger actions in Glasswarp. 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 |
|---|---|---|---|
button | string | — | Mouse button (default left) |
double | boolean | — | If true, double-click (two clicks) |
target_id | string | Yes | Target id from the most recent screen.observe (e.g. uia-… ) |
session_id | string | Yes | Active session id |
Parameters from the server's own tool schema.
Why input.click_target is rated High
This tool triggers external operations (mouse clicks on a remote Windows PC) whose effects are determined by the arguments (target_id, click type). The outcome is not reversible in a general sense and depends on what application/UI state exists at execution time. While not destructive by itself, it executes user-interface actions on a live system, making it Execute category.
From the tool's definition Tool performs 'real mouse click on the remote Windows desktop' with side effects that depend on what UI element is targeted.
Attacks that exploit this kind of access
The rule that runs input.click_target safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Glasswarp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For input.click_target, this is the rule to start with:
input.click_target 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 Glasswarp, apply this rule, and every input.click_target call is checked against it from then on.
Questions about input.click_target
Left/right/middle-click a UIA target by id from the latest screen.observe (uses native center coords). Prefer over input.click_xy. Side effect: real mouse click on the remote Windows desktop. Do not reuse target_id after the screen may have changed — re-observe first. For click→type→keys sequences, use input.send_actions (one turn) instead of chaining this tool. It is categorised as a Execute tool in the Glasswarp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
input.click_target accepts 4 parameters: button, double, target_id, session_id. Required: target_id, session_id. The full parameter table on this page comes from the server's own tool schema.
Register the Glasswarp MCP server in PolicyLayer and add a rule for input.click_target: 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 Glasswarp. Nothing to install.
input.click_target 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 input.click_target 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 input.click_target. 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.
input.click_target is provided by the Glasswarp MCP server (https://mcp.glasswarp.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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