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Rong-Ding

MarketCanvas-Env MCP Server

by Rong-Ding

get_canvas_state

Retrieve the full semantic state of a design canvas, including task constraints, geometry, and spatial relations, to inspect and verify edits before proceeding.

Instructions

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations provided, the description carries the full behavioral burden. 'Read' implies a non-mutating operation and the description enumerates the complete state content, but it does not explicitly address side effects, permissions, idempotency, or rate limits.

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 front-loaded sentence with no filler or repetition. Every term contributes to specifying what state is read.

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 zero-parameter read tool with an output schema, the description appropriately names the content scope and does not need to explain return values or inputs. The main remaining gap, sibling routing, is better covered under usage guidelines.

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 tool has zero parameters, so per the rubric the baseline is 4. There are no parameter semantics for the description to clarify beyond what the empty schema already shows.

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 uses a specific verb, 'Read,' and names the resources it reads: semantic state, task constraints, geometry, and spatial relations. This clearly states the tool's purpose, but it does not explicitly differentiate itself from siblings such as get_current_reward or get_action_schema.

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?

There is no guidance on when to use this tool versus alternatives, nor any when-not conditions or prerequisites. The description only states what is read, leaving the agent to infer that it should call this tool when full canvas state is needed.

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