Skip to main content
Glama

mental_model

Analyze complex problems using structured mental models. Apply frameworks like Second-Order Thinking to break down issues, reason through steps, and derive actionable insights.

Instructions

Tool for creating and analyzing mental models to understand complex problems and systems.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stepsNoA sequential, logical breakdown of how the mental model is applied. Each step should be a clear action or point of analysis, demonstrating the model's framework.
problemYesA clear, specific, and bounded description of the problem being analyzed. A good problem statement is crucial for effective model application. For example, 'How can we reduce user friction in our onboarding flow?' is better than 'Make the app better'.
modelNameYesThe name of the mental model being used (e.g., 'Second-Order Thinking', 'First Principles'). This helps categorize the analysis.
reasoningNoThe core logic behind the analysis. Explain *why* this model is appropriate for this problem and *how* the steps connect to the model's principles. This is crucial for evaluating the application's quality.
conclusionNoThe final, actionable insight or decision. It should be a direct synthesis of the preceding steps and reasoning.
Behavior1/5

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

No annotations are provided, and the description does not disclose any behavioral traits such as side effects, permissions, or limitations. It merely restates the tool's purpose.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise but lacks structure. It does not elaborate on key aspects like how to use or what to expect, making it underspecified.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 5 parameters, no output schema, and no behavioral annotations, the description is too brief to provide complete context. It fails to explain return values or usage context.

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?

Schema description coverage is 100% with clear parameter descriptions. The tool description adds no extra meaning beyond the schema, meeting the baseline for high coverage.

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

Purpose3/5

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

The description states 'creating and analyzing mental models', which is specific but does not differentiate from sibling tools like 'critical_thinking' or 'problem_decomposition' that also involve analytical frameworks.

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?

No guidance on when to use this tool versus alternatives. The description lacks context for appropriate usage or prerequisites.

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