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vianel

MCP Knowledge Base Server

by vianel

search_kb

Find relevant knowledge base articles by submitting a natural-language question or problem description. Returns ranked document chunks with source information and relevance scores.

Instructions

    Semantic search over the knowledge base. Pass a natural-language question or problem 
    description; returns the most relevant document chunks ranked by similarity, each with 
    its source doc_id, a text snippet, and a score (higher = more relevant).
    for matches

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so description carries burden. Discloses semantic search, ranking by similarity, and output fields. Does not mention authentication, rate limits, or potential side effects, but as a read-only search, this is acceptable.

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 concise sentences, first states purpose, second describes output. No wasted words, front-loaded.

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?

For a simple search tool with one parameter, description covers input, output fields, and ranking. Output schema exists, so return value details are sufficiently covered.

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?

Single parameter 'query' has 0% schema description coverage; description adds that it is a natural-language question, providing meaning beyond the bare type 'string'.

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 clearly states it performs semantic search over the knowledge base, specifying input as natural-language question and output as relevant chunks with doc_id, snippet, and score. Distinct from siblings (add, get_article, list_tickets).

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?

Explicitly says to pass a natural-language question, implying use for searching KB. Does not provide explicit when-not-to-use or alternatives, but siblings are sufficiently different to infer context.

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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