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liangjunglj-cpu

Almond MCP

list_library

List all physics logic archetypes available in the Grasshopper library to identify logic IDs for structural analysis.

Instructions

Lists all available physics logic archetypes in the Grasshopper library. Use this tool first to discover what logic IDs are available before calling get_logic_by_id.

Returns: JSON list of logic IDs available (e.g., ["catenary", "bending", "01_simplebeam"]).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description appropriately conveys a read-only listing operation and specifies the return format as a JSON list, though it could mention any potential limitations or side effects.

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 concise with three sentences covering purpose, usage, and return format without any unnecessary words.

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

Completeness5/5

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

Given the tool's simplicity (no parameters, straightforward list), the description fully covers the tool's purpose, usage, and output, making it complete.

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?

There are zero parameters, and the description adds value beyond the schema by explaining the output and providing an example list, which aids interpretation.

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 clearly states the verb 'list' and the specific resource 'physics logic archetypes in the Grasshopper library', which distinguishes it from sibling tools like get_logic_by_id.

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

Usage Guidelines5/5

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

It explicitly advises using this tool first to discover available logic IDs before calling get_logic_by_id, providing clear contextual guidance.

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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