Skip to main content
Glama
Cybing521

Vensim MCP

by Cybing521

inspect_vensim_model

Inspect a Vensim model file to extract equations, diagram objects, arrows, and views for analysis.

Instructions

Read equations, sketch objects, arrows, and views from a text .mdl model.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
model_pathYes

Schema Changelog

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

  1. First observedv0.1.0

TDQS

A4.4/5.0
Behavior4/5

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

No annotations are provided, so the description carries the transparency burden. It clearly signals a read-only inspection operation and clarifies that the input is a text .mdl model. It does not detail error behavior or output format, but the non-mutating nature is effectively conveyed.

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 sentence with no filler. The key action is front-loaded and every clause adds meaningful detail about what the tool reads and from where.

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

Completeness4/5

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

For a tool with one required parameter and no output schema, the description gives enough to select and invoke it correctly: it identifies the input type and the scope of content returned. It doesn't describe return structure or failure modes, which prevents a perfect score.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema gives no property descriptions, but the tool description compensates by indicating that the model_path parameter refers to a text .mdl model. It does not discuss path format or required file existence, but for a single simple string parameter this is adequate.

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

Purpose5/5

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

The description uses a specific verb ('Read') and names the resource type ('text .mdl model') along with the exact contents it retrieves: equations, sketch objects, arrows, and views. This makes it easy to distinguish from sibling tools like render_vensim_preview or validate_vensim_model, which imply different operations.

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

Usage Guidelines4/5

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

The description makes the use case clear: call this when you need to read model structure or content from a text .mdl file. It does not explicitly compare against sibling tools or state when not to use it, so it falls short of full alternative guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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/Cybing521/vensim-mcp'

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