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HarleyVader

LLM Toolshed MCP Server

by HarleyVader

semantic_search

Query BambiSleep knowledge base to retrieve semantically similar content, using a configurable similarity threshold for relevance.

Instructions

Perform semantic search across BambiSleep content

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query
thresholdNoSimilarity threshold (0-1)
Behavior2/5

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

With no annotations, the description must disclose behavioral traits, but it only states the high-level action. It does not explain whether the operation is read-only, what the return format is, how the threshold affects results, or handling of edge cases like low similarity.

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, concise sentence with no redundant information. It is efficiently structured and front-loaded with the key action and resource.

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

Completeness2/5

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

Given the lack of annotations, no output schema, and the existence of closely related sibling tools, this description is insufficient. It does not explain how semantic search differs from RAG querying, what practical effect the threshold has, or any operational nuances, leaving the tool contextually incomplete.

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?

Both parameters (query and threshold) have descriptions in the schema, covering 100% of parameters. The description text adds no extra semantic detail beyond the schema, so the baseline score of 3 is appropriate.

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 'perform semantic search' and identifies the resource 'BambiSleep content', making the core function clear. However, it does not differentiate from the sibling tool 'rag_query', which may serve a similar retrieval purpose.

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?

No guidance is provided about when to use this tool versus alternatives like rag_query or cag_context. The description simply states the action without context, exclusions, or preferred scenarios.

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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