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Sangwonee

Figma MCP Connect

by Sangwonee

get_reactions

Retrieve prototyping reactions from multiple Figma nodes, providing the data needed to generate connector line parameters via the reaction-to-connector strategy.

Instructions

Get Figma Prototyping Reactions from multiple nodes. CRITICAL: The output MUST be processed using the 'reaction_to_connector_strategy' prompt IMMEDIATELY to generate parameters for connector lines via the 'create_connections' tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodeIdsYesArray of node IDs to get reactions from
Install Server

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral burden. It conveys a read-only getter and adds a valuable behavioral constraint (output must be transformed before use), but it does not disclose return format, error behavior, or permissions. Some behavior is disclosed, but gaps remain.

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 sentences, front-loaded with the core action and followed by a necessary cross-tool pipeline warning. No repeated schema content; the critical instruction earns its place despite its emphasis.

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 one-parameter tool, the definition is usable: it states what to do and what to do with the result. However, with no output schema and no annotations, the absence of any description of the returned reaction data leaves an agent dependent on the named strategy prompt for interpretation.

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% and the single nodeIds parameter is already documented as an array of node IDs. The description's 'from multiple nodes' reinforces the parameter but adds no new format or constraint details, so baseline 3 is appropriate.

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 names a specific resource ('Figma Prototyping Reactions') and the scope ('from multiple nodes'), which clearly distinguishes it from sibling getters like get_node_info or get_selection. The verb 'Get' plus the unique resource makes the tool's function immediately identifiable.

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 CRITICAL instruction explicitly states that the output must be processed by the reaction_to_connector_strategy prompt and passed to create_connections, giving an unambiguous downstream workflow. It does not name alternative tools or exclusion criteria, but none are needed for this niche getter, so the usage context is clear.

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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