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Create knowledge base

create_knowledge_base

Create a new knowledge base

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": {
      "name": "<name>"
    },
    "name": "create_knowledge_base"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYesKnowledge base name
brandingNoBranding configuration
settingsNoKnowledge base settings
subdomainNoCustom subdomain (auto-generated if not provided)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.3/5.0
Behavior2/5

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

Annotations already declare readOnly=false, destructive=false, idempotent=false, openWorld=false, so the safety profile is covered. The description adds nothing beyond that—no mention of what gets created, whether the caller becomes owner, whether subdomain collisions fail, or any side effects, which is a real gap for a non-idempotent mutation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single front-loaded sentence with zero redundancy, but the brevity is under-specification rather than disciplined conciseness—there was room to say more and nothing wasted because nothing was said.

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?

For a 4-parameter creation tool with two untyped nested objects and no output schema, the description leaves the agent without any guidance on required inputs, side effects, or what is returned. The structured fields cannot carry this alone.

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 baseline of 3 applies; the description itself contributes no parameter meaning. Notably it is silent on the nested 'branding' and 'settings' objects, which the schema describes only as generic objects.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description restates the tool name and title verbatim ("Create a new knowledge base") without adding scope, target system, or distinguishing detail. It does not differentiate this from sibling creators like create_article or create_category beyond the resource noun.

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 when-to-use or when-not-to-use guidance, no prerequisites, and no mention of alternatives (e.g., update_knowledge_base existing after creation, or list_knowledge_bases to check for duplicates). The agent must infer everything from the name.

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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