Skip to main content
Glama
circuitry-dev

Circuitry MCP Server

Official

text.getContent

Extract markdown content from Text nodes in Circuitry's visual workflows to access and process text data within automated coding operations.

Instructions

Get markdown content from a Text node.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodeIdYesText node ID or name
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states it's a 'Get' operation, implying read-only behavior, but doesn't specify if it requires permissions, what happens on errors, or the format of returned content beyond 'markdown'. This leaves gaps in understanding how the tool behaves in practice.

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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's front-loaded and wastes no space, making it easy to parse quickly.

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 the lack of annotations and output schema, the description is incomplete for a tool that retrieves content. It doesn't explain what the return value looks like (e.g., markdown string, error handling), which is crucial for an agent to use it effectively. This is a significant gap for a read operation.

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 description coverage is 100%, so the schema already documents the 'nodeId' parameter as 'Text node ID or name'. The description doesn't add any extra meaning beyond this, such as examples or constraints, which aligns with the baseline score of 3 when the schema does the heavy lifting.

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 action ('Get') and resource ('markdown content from a Text node'), making the purpose understandable. However, it doesn't differentiate from potential siblings like 'text.create' or 'text.setContent' beyond the 'get' verb, which is why it doesn't reach a 5.

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 is provided on when to use this tool versus alternatives. While the description implies it's for retrieving content, it doesn't mention prerequisites, context, or comparisons to other tools like 'text.setContent' or 'nodes.get' that might handle similar data.

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/circuitry-dev/circuitry-mcp-server'

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