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m9810223

tldraw-mcp

by m9810223

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List tldraw shape types and required props. Filter by name substring or inspect a specific type's live prop names to prepare for JSON manipulation.

Instructions

List supported tldraw shape types and their required props. Use this to discover what can be created before falling back to exec_jq.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoOptional substring to filter shape types
typeNoWhen verbose=true, the specific shape type to introspect
verboseNoIf true, dump the live prop names from @tldraw/tlschema for the given type
Behavior3/5

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

No annotations are provided, so the description carries the burden. 'List' implies a read-only operation, but the description does not explicitly state that there are no side effects or destructive actions. Basic transparency is present but could be improved.

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?

Two sentences, no filler, front-loaded with the core action. Every word earns its place.

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

Completeness3/5

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

No output schema exists, and the description does not explain the return format or default behavior (e.g., what happens when verbose=false). It provides a general idea but lacks details needed for full understanding.

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 coverage is 100% with descriptions for all three parameters. The description adds overall context but does not deepen understanding beyond what the schema already provides. Baseline 3 is appropriate.

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?

Description uses specific verb 'List' and resource 'supported tldraw shape types and their required props', clearly defining the tool's purpose. It also distinguishes from sibling exec_jq by suggesting use before falling back.

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?

Provides a clear usage hint: 'Use this to discover what can be created before falling back to exec_jq.' This tells the agent when to use this tool versus alternatives, though it could be more explicit about when not to use.

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

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