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tathagat22

Plumb (plumb-mcp)

by tathagat22

Plumb · search

plumb_search
Read-onlyIdempotent

Find Figma nodes by name and type across pages. Use queries like 'primary button' or 'TEXT layers named Title' to locate elements with details such as id, name, type, page, and size.

Instructions

Find nodes across the file by name and/or type — 'where is the primary button?', 'every TEXT layer named Title', etc. Returns matches with id, name, type, page, and size. Drill into one with plumb_node, or pull its asset with plumb_assets. Plugin path; needs the Plumb plugin paired.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoFilter to a single Figma page by name (case-insensitive, substring-friendly). Drops noise on multi-page files.
typeNoFilter by node type, e.g. "TEXT", "FRAME", "INSTANCE", "VECTOR".
queryNoSubstring match on node name (case-insensitive).
Behavior4/5

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

Annotations already indicate safe read-only and idempotent behavior. The description adds valuable context: the plugin requirement, which is a critical dependency, and specifies the exact return fields (id, name, type, page, size). This goes beyond the annotations to disclose operational constraints.

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, no fluff. First sentence states purpose with examples, second lists output and related tools, third notes the plugin dependency. Every sentence earns its place.

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?

The description is complete for a search tool with three optional params and no output schema. It explains return fields, filter behavior, and provides pointers to next-step tools. The plugin dependency is critical context.

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

Parameters5/5

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

Schema coverage is 100%, but the description adds meaning: explains that query is a case-insensitive substring match, page filtering is case-insensitive and substring-friendly, and provides an example for type filtering. These clarifications help the agent use parameters correctly.

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 it finds nodes by name and/or type, with concrete examples. It distinguishes from siblings by pointing to plumb_node and plumb_assets for further actions.

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?

Provides explicit guidance: plugin dependency, when to use alternatives (plumb_node, plumb_assets), and filtering options. Effectively tells the agent when and how to use the tool.

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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