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mahmudcoding

Custom Figma MCP

by mahmudcoding

Get selection

figma.get_selection

Retrieve serialized data for the current selection in Figma, enabling AI agents to inspect selected elements.

Instructions

Return serialized data for the current Figma selection.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not state whether the operation is read-only, whether it requires authentication, or what 'serialized data' entails. The description is minimal and leaves ambiguity.

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?

The description is a single sentence of 7 words. It is extremely concise and contains no redundant information. Every word earns its place for this simple tool.

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?

Given no parameters, output schema, or annotations, the description is adequate but minimal. It does not explain what 'serialized data' means or the format of the return value, which could confuse an agent. However, for a simple read tool, it is acceptable.

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

Parameters4/5

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

The tool has zero parameters, and the schema coverage is 100%. Per rubric, when there are 0 parameters, baseline is 4. The description does not need to add parameter info.

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's action: 'Return serialized data for the current Figma selection.' The verb 'return' and object 'serialized data' are specific, and 'current Figma selection' distinguishes it from siblings like 'get_document' or 'get_node'.

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

Usage Guidelines3/5

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

No explicit guidance on when to use this tool vs. alternatives like 'get_node' or 'get_current_page'. The purpose is clear enough to infer usage, but given the many sibling tools, explicit context would be helpful.

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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