Skip to main content
Glama
ysocrius

Cursor Talk to Figma MCP

by ysocrius

set_multiple_annotations

Apply multiple annotations to several elements in parallel within one Figma node, with markdown text and optional categories.

Instructions

Set multiple annotations parallelly in a node

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodeIdYesThe ID of the node containing the elements to annotate
annotationsYesArray of annotations to apply
Behavior2/5

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

With no annotations provided, the description carries full responsibility for behavioral disclosure. It mentions 'parallelly' suggesting concurrency, but does not explain potential side effects, atomicity, failure handling, or whether annotations are created or updated (especially since `annotationId` is in the schema for updates). This leaves significant behavioral uncertainty.

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 a single sentence, front-loaded with the action and object. It is concise with no wasted words, though 'parallelly' is an awkward adverb that could be replaced with 'in parallel' without losing meaning. Overall, it is structurally efficient.

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?

Given there is no output schema and no annotations, the description should provide more context about return values, validation, and operational behavior. The tool performs a batch operation with potential partial-failure scenarios, but the description gives no hint of these complexities. The result is insufficient for an agent to fully anticipate outcomes.

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?

The schema covers 100% of parameters with descriptions, so the baseline is 3. The description itself adds no parameter-level context, and notably does not clarify the relationship between the top-level `nodeId` and the per-item `nodeId` in the annotations array—a potential source of confusion. Since the schema already handles semantics, this is acceptable but not enhanced.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: setting multiple annotations at once within a node. It uses a specific verb ('set') and resource ('annotations'), and distinguishes from the sibling tool `set_annotation` by emphasizing 'multiple'. However, 'parallelly' is slightly ambiguous and not a standard term.

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?

The description provides no explicit guidance on when to use this tool versus alternatives like `set_annotation` or `get_annotations`. It only implies usage through the name and the word 'multiple', but does not mention advantages, prerequisites, or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ysocrius/Talk-to-Figma-Cursor'

If you have feedback or need assistance with the MCP directory API, please join our Discord server