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neozhehan

Figma Edit MCP

List Reactions

reaction_list
Read-only

Read prototype reactions from Figma nodes and extract reaction data to build connection parameters for creating connections.

Instructions

Read prototype reactions from one or more nodes. Process the output with the reaction_to_connector_strategy prompt to build create_connection parameters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodeIdsYesArray of node IDs to get reactions from

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodesCountNoNumber of inspected nodes
nodesWithReactionsNoNumber of nodes found that have reactions
nodesNoList of node entries with their reactions
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the description does not need to emphasize safety. The description adds the detail that it reads from 'one or more nodes', but no further behavioral traits (e.g., side effects, rate limits) are disclosed. This is adequate given the annotations.

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 two sentences, with the first sentence stating the core purpose and the second providing actionable guidance. No extraneous information, well front-loaded.

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?

Given the presence of an output schema and clear annotations, the description is complete. It includes guidance on how to further use the output, which adds value beyond the minimum required information.

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 description coverage is 100%, with the nodeIds parameter described as 'Array of node IDs to get reactions from'. The description's phrase 'from one or more nodes' adds no new semantic value beyond the schema, so baseline score of 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 clearly states the tool reads prototype reactions from nodes, with a specific verb and resource. It distinguishes itself from siblings by indicating it is a read operation, and it mentions a downstream processing step, which further clarifies its purpose.

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 description provides clear context by instructing to process the output with a specific prompt for building create_connection parameters. However, it does not explicitly state when not to use this tool or mention alternatives like reaction_update for write operations.

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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