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nobitalqs

Modular RAG MCP Server

by nobitalqs

list_collections

List document collections in the knowledge base with optional statistics (document count and metadata) for discovery before querying.

Instructions

List all available document collections in the knowledge base.

Returns information about each collection including:

  • Collection name

  • Document count (if include_stats=true)

  • Collection metadata

Use this tool to discover available collections before querying.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
include_statsNoWhether to include statistics (document count) for each collection.
Behavior4/5

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

Discloses return information including conditional output for include_stats=true. No contradictions with missing annotations; covers behavioral traits adequately.

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 short paragraphs, front-loaded with purpose, bullet points for structure, no redundant 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?

For a simple list tool with one optional parameter and no output schema, provides all necessary context: purpose, response shape, and usage hint.

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?

Schema coverage 100%, and the description adds value by explaining the effect of include_stats on output (document count conditional).

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?

Clearly states 'List all available document collections in the knowledge base', using specific verb and resource. Distinguished from siblings like query_knowledge_hub and delete_document.

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 'Use this tool to discover available collections before querying', providing clear when-to-use context. Does not explicitly mention when not to use.

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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