Skip to main content
Glama

visual_reasoning

Use diagrams to structure reasoning, create visual representations of problems, analyze relationships, and apply transformations to solve complex problems step by step.

Instructions

Diagram-based thinking and problem solving with visual elements and transformations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNoAdditional context relevant to the visual reasoning.
insightNoAn insight gained from the visual analysis.
purposeNoThe purpose or goal of this visual reasoning session.
audienceNoThe intended audience for the diagram.
elementsNoThe visual elements being operated on or analyzed.
diagramIdYesA unique identifier for the diagram.
iterationYesThe iteration number of this reasoning step.
operationYesThe operation to be performed on the visual elements.
hypothesisNoA hypothesis formed from the insight.
diagramTypeYesThe type of diagram being reasoned about.
observationNoAn observation made about the diagram.
reasoningChainNoSequential steps in the visual reasoning process.
diagramAnalysisNoComprehensive analysis of the diagram structure and properties.
recommendationsNoRecommendations for improving the diagram.
transformationTypeNoThe type of transformation to be applied.
nextOperationNeededYesA flag indicating whether another operation is needed.
suggestedOperationsNoSuggested next operations.
transformationDetailsNoDetailed information about the transformation.
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. The single sentence does not mention side effects (e.g., state changes), authentication needs, rate limits, or any other behavioral traits. For a complex tool with many operations, this is insufficient.

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 concise (one sentence, 10 words) and front-loaded with the key concept 'diagram-based.' However, given the tool's complexity, slightly more detail would improve utility without sacrificing conciseness.

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?

Despite the rich input schema, the description lacks context on output format (no output schema), workflow sequencing, or how this tool integrates with other reasoning steps. The absence of return value information and usage patterns makes it incomplete for effective agent use.

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 detailed explanations for all 18 parameters and nested objects. The tool description adds no further meaning beyond what the schema already provides, so the baseline score of 3 applies.

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 it is for 'diagram-based thinking and problem solving with visual elements and transformations.' This distinguishes it from sibling reasoning tools like 'critical_thinking' or 'sequential_thinking' by specifying the domain (visual/diagram). However, it lacks a specific verb-resource pairing and could be more precise.

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 guidance on when to use this tool versus alternatives, nor does it mention prerequisites, contexts, or situations where it should not be used. Given the extensive sibling set, this omission hinders an agent from making an informed selection.

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/emmahyde/thinking-patterns'

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