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tathagat22

Plumb (plumb-mcp)

by tathagat22

Plumb · selection

plumb_selection
Read-onlyIdempotent

Extract current Figma selection data for code generation. Returns a compact semantic design graph without needing file keys or tokens.

Instructions

Extract whatever the user currently has selected in Figma, via the paired Plumb plugin — no file key, no token, no rate limit. Returns the same compact PDS as plumb_node. Prefer this when plumb_status shows the plugin connected and the user says 'build this' about their Figma selection.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
depthNoLevels to disclose. Default 3.
notesNoInclude human-readable notes per node.
maxTokensNoSoft token budget; fit-to-budget reduces depth to fit.
Behavior4/5

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

Annotations already indicate readOnly and idempotent behavior. The description adds that there is no authentication or rate limiting, and that output matches plumb_node. This provides meaningful context beyond annotations without contradiction.

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

Conciseness5/5

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

Three sentences, each earning its place: first gives purpose and key advantages, second clarifies output, third gives usage guidance. Efficient and well-structured.

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

Completeness5/5

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

Despite lacking an output schema, the description references a known output format (compact PDS like plumb_node), which is sufficient given the family of tools. The tool's behavior and invocation context are fully covered.

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 coverage is 100%, so the schema documents parameters adequately. The description does not add further detail about depth, notes, or maxTokens beyond the schema.

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 clearly states the tool extracts the user's Figma selection via the Plumb plugin, with notable benefits (no file key, token, rate limit). It distinguishes from plumb_node by specifying the source (selection vs. node) while noting identical output format.

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

Usage Guidelines5/5

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

Explicit guidance is provided: 'Prefer this when plumb_status shows the plugin connected and the user says build this about their Figma selection.' This tells the agent exactly when to use this tool over alternatives.

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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