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circuitry-dev

Circuitry MCP Server

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image.create

Add images to Circuitry visual workflows by specifying URLs or base64 data, positioning them on the canvas to enhance diagrams and data visualizations.

Instructions

Create an image node.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoDisplay name
urlNoImage URL or base64 data URI
positionNoPosition {x, y} on canvas

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

C2.1/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Create an image node' implies a write/mutation operation, but the description doesn't disclose any behavioral traits: no information about permissions needed, whether creation is reversible, what happens on failure, rate limits, or what the tool returns. This is inadequate for a mutation tool with zero annotation coverage.

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 extremely concise at just three words. While it's arguably too brief for adequate tool documentation, it contains zero wasted words and is perfectly front-loaded. Every word serves the core purpose statement, making it maximally efficient in terms of word economy.

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 that this is a mutation tool (creating something) with no annotations, no output schema, and 3 parameters, the description is insufficiently complete. The agent needs to understand what system this creates nodes in, what happens after creation, and behavioral constraints. The description fails to provide this context, leaving significant gaps for a tool that presumably modifies state.

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 input schema has 100% description coverage, with all three parameters (name, url, position) documented in the schema itself. The description adds no parameter information beyond what the schema provides. According to the scoring rules, when schema_description_coverage is high (>80%), the baseline is 3 even with no param info in the description.

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

Purpose2/5

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

The description 'Create an image node' is essentially a tautology that restates the tool name 'image.create' with minimal elaboration. It doesn't specify what an 'image node' is, what system it's created in, or how it differs from sibling tools like 'html.create', 'text.create', or 'screen.create'. The purpose is vaguely implied but lacks the specificity needed for clear differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. With many sibling tools for creating different types of content (html.create, text.create, code.create, etc.), there's no indication of what an 'image node' is used for, what context it applies to, or prerequisites for its use. This leaves the agent guessing about appropriate usage scenarios.

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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