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intelli-verse-x

Intelliverse Router MCP Server

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Search an app's knowledge base

kb_search

Perform semantic search over an app's knowledge base chunks to find relevant matches with similarity scores.

Instructions

Semantic search over the app's chunks. Returns matches with similarity scores.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
top_kNo
app_idYes
Behavior2/5

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

With no annotations, the description must cover behavioral traits, but it only mentions returning matches with similarity scores, lacking details on result limits, pagination, or performance.

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 with no redundant information, efficiently conveying the core functionality.

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?

No output schema or annotations, and the description omits critical details like output structure, similarity score range, and parameter usage, making it insufficient for a tool with 3 parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description does not elaborate on parameters such as query, top_k, or app_id, failing to provide additional context.

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 'Semantic search over the app's chunks' with a specific verb and resource, and distinguishes from sibling tools like kb_chat and kb_documents.

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 explicit guidance on when to use this tool versus alternatives like kb_chat for interactive chat, or when not to use it.

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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