scan_text_nodes
Scan a Figma node to retrieve all text content from its text nodes.
Instructions
Scan all text nodes in the selected Figma node
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| nodeId | Yes | ID of the node to scan |
Scan a Figma node to retrieve all text content from its text nodes.
Scan all text nodes in the selected Figma node
| Name | Required | Description | Default |
|---|---|---|---|
| nodeId | Yes | ID of the node to scan |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description must carry the full burden. It does not disclose whether scanning is recursive, the output format, or any side effects. Only the basic action is stated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise (one sentence) and front-loaded with the key action. However, it could include more detail without becoming verbose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and no additional context, the description is insufficient. The agent needs to know what the tool returns (e.g., list of text nodes, their content) to use it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with a clear description of nodeId. The tool description adds minimal extra meaning (specifying 'selected' node). Baseline score is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action (scan), the resource (text nodes), and the scope (selected Figma node). It distinguishes from sibling tools like scan_nodes_by_types which is more general.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool vs alternatives such as scan_nodes_by_types. The description does not mention any exclusions or prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/skulidropek/figma-tunnel-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server