Skip to main content
Glama
Sign In
emovi-mcp

emovi-mcp

by Lalitronico
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

visualize_mobility

Create visualizations of social mobility transition matrices across education, occupation, or wealth dimensions. Choose from heatmap, Sankey, or Prais-Bar chart types with optional filters and groupings.

Instructions

Generate a visualization of mobility transition matrix.

Args: dimension: Mobility dimension — "education", "occupation", or "wealth" chart_type: Type of chart — "heatmap", "sankey", or "prais_bar" filter: Optional filter expression (e.g., "sexo == 1") by: Optional grouping variable

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "visualize_mobility"
  }
}

Input Schema

NameRequiredDescriptionDefault
dimensionNowealth
chart_typeNoheatmap
filterNo
byNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.7/5.0
Behavior2/5

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

No annotations provided, so the description carries full burden. It states it generates a visualization but does not disclose what form the output takes (e.g., image, interactive plot), side effects, or any behavioral details beyond generation.

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?

Extremely concise: one sentence for purpose, then a focused list for parameters. No redundant information, all sentences earn their place.

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?

Given the presence of an output schema (unseen) and simple parameters, the description is mostly complete. However, it could mention if a precomputed transition matrix is required or hint at output format.

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

Parameters5/5

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

Schema description coverage is 0%, but the description compensates with clear explanations for each parameter, including allowed values for 'dimension' and 'chart_type' and optional nature of 'filter' and 'by'.

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 starts with a clear verb and resource: 'Generate a visualization of mobility transition matrix.' It is specific and distinguishes from siblings like 'transition_matrix' which likely computes the matrix.

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 on when to use this tool versus alternatives like 'transition_matrix' or 'tabulate'. The description does not specify prerequisites or when not to use it.

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

Deploy Server

Other Tools