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cognigy-ai-mcp-management-server

cognigy-ai-mcp-management-server

by TsvetanG2
OverviewSchemaSourceRelated ServersDiscussions(1)Admin
TypeScript

delete_intent

DestructiveIdempotent

Permanently remove an intent and its example sentences from a Cognigy flow. Validate changes with dryRun before applying.

Instructions

Deletes an intent from a Cognigy.AI flow. MUTATING & DESTRUCTIVE: This permanently removes the intent and its example sentences. Use dryRun=true (default) to validate first. After deleting, call train_intents to retrain.

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": {
      "flowId": "<flowId>",
      "intentId": "<intentId>"
    },
    "name": "delete_intent"
  }
}

Input Schema

NameRequiredDescriptionDefault
dryRunNoIf true (default), validates without deleting. Set to false to actually delete. WARNING: Deletion cannot be undone.
flowIdYesThe flow ID containing the intent
intentIdYesThe ID of the intent to delete

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.4

TDQS

A4.4/5.0
Behavior5/5

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

Discloses destructive behavior beyond annotations with 'MUTATING & DESTRUCTIVE: permanently removes'. Adds detail on safety with dryRun and post-step retraining.

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 sentences, no wasted words, purpose stated first. Efficient and clear.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers main behavior, safety measures, and required post-step. Lacks detail on return value or error handling, but acceptable given no output schema.

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 description coverage is 100%, so parameters are already documented. Description adds usage context for dryRun ('validate first'), but no additional info for flowId or intentId.

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 the verb 'Deletes' and resource 'intent from a Cognigy.AI flow'. It distinguishes itself from sibling tools like create_intent and update_intent.

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 explicit guidance on using dryRun=true for validation and calling train_intents after deletion. Does not explicitly mention when not to use, but the context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

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