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ladybug-tools-mcp

ladybug-tools-mcp

by LoftyTao
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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Find available tools in the Ladybug Tools MCP server by query. Returns relevance-ranked matches with optional tag filtering and detail levels.

Instructions

Search for available tools by query.

Returns matching tools ranked by relevance.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "query": "<query>"
    },
    "name": "search"
  }
}

Input Schema

NameRequiredDescriptionDefault
tagsNoFilter to tools with any of these tags before searching
limitNoMaximum number of results to return
queryYesSearch query to find available tools
detailNo'brief' for names and descriptions, 'detailed' for parameter schemas as markdown, 'full' for complete JSON schemasbrief

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.1

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations provided, the description must carry behavioral disclosure. It states that matching tools are returned ranked by relevance, which is a clear behavioral promise. It does not mention safety, side effects, or authentication, but for a read-only search tool the disclosed behavior is adequate.

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 two concise sentences. The primary action is front-loaded, and the additional sentence about ranking is useful without unnecessary detail.

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 discovery tool with full schema coverage and an output schema, the description is largely complete. It could be enhanced with usage guidance or explicit differentiation from sibling tools, but nothing essential for invoking it correctly is missing.

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%, so the input schema already documents all four parameters. The description adds context about ranking but does not meaningfully elaborate on query, tags, limit, or detail beyond what the schema provides, matching the baseline.

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 clearly states the tool searches for available tools by query and returns ranked results, so an agent understands the core action and resource. However, it does not explicitly differentiate this tool from siblings like get_schema or execute, relying on the tool name and context rather than the description.

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. The description implies it is for discovering tools, but it does not state prerequisites, exclusions, or how it relates to get_schema or execute.

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

Deploy Server

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