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cognigy-ai-mcp-management-server

cognigy-ai-mcp-management-server

by TsvetanG2
OverviewSchemaSourceRelated ServersDiscussions(1)Admin
TypeScript

delete_knowledge_source

DestructiveIdempotent

Remove a knowledge source and its chunks from a knowledge store. Use dryRun=false to permanently delete; document content becomes unsearchable after deletion.

Instructions

Deletes a Cognigy.AI knowledge source and all its chunks. WARNING: This is destructive. The document content will no longer be searchable. MUTATING: Set dryRun=false to delete.

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": {
      "sourceId": "<sourceId>",
      "knowledgeStoreId": "<knowledgeStoreId>"
    },
    "name": "delete_knowledge_source"
  }
}

Input Schema

NameRequiredDescriptionDefault
dryRunNoIf true (default), validates without deleting. Set to false to actually delete.
sourceIdYesThe knowledge source ID to delete
knowledgeStoreIdYesThe knowledge store ID containing the source

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.4

TDQS

A4.7/5.0
Behavior5/5

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

Adds significant context beyond annotations: deletes all chunks, makes content unsearchable, and clarifies dryRun behavior. No contradiction with annotations.

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?

Three concise sentences with no fluff. Front-loaded with the action, followed by warning and usage condition.

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?

Fully covers the destructive nature and dryRun mechanism. No output schema needed; description is sufficient for correct invocation.

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 is 100%, but description adds value by explicitly mentioning dryRun and its role. Does not detail sourceId or knowledgeStoreId beyond schema.

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 deletes a knowledge source and all its chunks, specifying the resource and effect. It distinguishes from sibling tools like delete_knowledge_store and delete_knowledge_chunk.

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?

Provides clear context: use to delete a knowledge source, warns about destructiveness, and explains dryRun parameter. Lacks explicit comparison to siblings or when-not-to-use 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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