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xlzuvekas

Figma Copilot

by xlzuvekas

get_table_data

Extract table data from Figma designs and output as arrays, objects, or CSV files.

Instructions

Extract data from a Figma table node in various formats (array, object, or CSV)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tableIdYesID of the table node to extract data from
headerRowNoWhich row to use as headers (0-based index, default: 0)
outputFormatNoOutput format for the table data (default: array)
includeHeadersNoWhether to include the first row as headers (default: true)
cleanEmptyCellsNoRemove empty cells from output (default: true)
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. It does not disclose whether the tool modifies data, requires specific permissions, or handles errors, leaving behavioral traits unclear.

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?

Single sentence that efficiently conveys purpose and key variable aspects (formats). No superfluous information.

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

Completeness2/5

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

No output schema, so the description should explain return structure. It only says 'extract data' without details on output format, error handling, or node requirements, making it incomplete for an extraction tool.

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 baseline is 3. The mention of formats aligns with the outputFormat parameter but adds no deeper semantics. No additional explanation 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 action (extract data), the resource (Figma table node), and the output formats (array, object, CSV), making it distinct from sibling tools.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives, nor any prerequisites or exclusions. The description is purely functional.

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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