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rreusser

Observable Notebook Kit Debug MCP Server

by rreusser

MouseClick

Simulate mouse clicks in an Observable notebook to trigger interactions and inspect behavior. Target by CSS selector or coordinates, choose button, track events.

Instructions

Simulate a mouse click at a position. Can target a specific element or coordinates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
xNoX coordinate (relative to element if selector provided, otherwise viewport)
yNoY coordinate (relative to element if selector provided, otherwise viewport)
labelNoOptional label describing the intent of this action (e.g., "expand plot", "zoom in"). Displayed in the notebook's event log overlay.
buttonNoMouse button (0=left, 1=middle, 2=right). Default: 0
notebookNoTarget notebook (URL, path like "index" or "voronoi", or index like "0"). Optional if you've used FocusNotebook or only one notebook is connected.
selectorNoCSS selector for target element. If provided, position is relative to element.
timeout_msNoMaximum time to wait in milliseconds

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.2

TDQS

A3.8/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

There are no annotations, so the description must carry the behavioral burden. It discloses that the action is simulated and can target elements or coordinates, but it doesn't mention likely side effects (navigation, button activation) or failure behavior. This is adequate for a simple click but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short sentences and gets to the point immediately. It is not padded, though 'at a position' and 'element or coordinates' are slightly redundant.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple click tool, the description plus a fully documented schema is mostly sufficient to invoke it. It lacks discussion of edge cases, side effects, or what happens when no target is given, which keeps it from being fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the parameters are already fully documented. The description adds little beyond the schema, only summarizing that targeting can be by element or coordinates, which is already implied by the optional selector and x/y fields.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('simulate a mouse click') and the two targeting modes ('element or coordinates'), which clearly distinguishes it from sibling pointer tools like MouseDrag, MouseHover, and MouseWheel. An agent can understand what this tool does and how it differs from nearby tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear context: use this tool for mouse clicks, targeting either an element or coordinates. It doesn't explicitly name alternatives or exclusion conditions, so it stops short of a 5, but the intended usage is not ambiguous.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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