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Glama
Rong-Ding

MarketCanvas-Env MCP Server

by Rong-Ding

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_canvas_stateA

Read complete semantic state, task constraints, geometry, and spatial relations.

get_action_schemaA

Read the validated action schema for add, move, update, delete, and submit.

execute_actionA

Execute one edit or submit; an invalid attempt consumes one step without changing elements.

Examples: {"op":"move_element","id":"e1","x":100,"y":80}; {"op":"update_element","id":"e1","properties":{"text_color":"#000000"}}; {"op":"add_element","element":{"type":"text","role":"headline","content":"Summer Sale"}}; {"op":"submit"}. Call get_action_schema for full property definitions.

get_current_rewardA

Read a diagnostic score preview and components. Does not advance or reward an episode.

reset_environmentB

Discard this episode and start a blank canvas with an optional structured task specification.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.9/5.0

Scored across 5 tools

Disambiguation5/5

Each tool has a clearly distinct target: get_canvas_state reads world state, get_action_schema reads the action spec, get_current_reward reads scoring diagnostics, execute_action mutates, and reset_environment restarts. The three 'get_' readers could superficially look similar but their nouns (state/schema/reward) are unambiguous. No two tools overlap in purpose.

Naming Consistency5/5

All five tools follow a clean snake_case verb_noun pattern (get_canvas_state, get_action_schema, execute_action, get_current_reward, reset_environment). The convention is uniform across readers, mutators, and lifecycle ops. No mixing of styles.

Tool Count5/5

Five tools is exactly right for an environment-style server: observe, inspect schema, act, preview reward, reset. Nothing is redundant and nothing feels missing at the count level. Well-scoped and each tool earns its place.

Completeness5/5

The surface covers the full interaction lifecycle: reset/init, state observation, action schema discovery, action execution (add/move/update/delete/submit), and reward feedback. This is a complete observe-act-reward loop with no obvious dead ends.

Maintenance

ActivityMaintained
ResponsivenessNo issues