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TsvetanG2

cognigy-ai-mcp-management-server

update_knowledge_connector

Idempotent

Modify an existing Cognigy.AI knowledge connector's name or settings. Validate changes with dryRun before applying the update.

Instructions

Updates an existing Cognigy.AI knowledge connector. Use this to change settings or name. MUTATING: Set dryRun=false to update.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoNew name for the connector
dryRunNoIf true (default), validates without updating. Set to false to actually update.
connectorIdYesThe knowledge connector ID to update
knowledgeStoreIdYesThe knowledge store ID containing the connector
Behavior4/5

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

Discloses the mutating behavior and dryRun control, adding context beyond annotations which already indicate mutability and non-destructiveness.

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 efficient sentences: first states purpose, second adds critical usage nuance. No wasted words.

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?

Adequately covers the update operation with dryRun emphasis, but lacks mention of return values or error conditions.

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?

All parameters are described in the schema (100% coverage), so the description adds little extra meaning beyond 'change settings or name'.

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 it updates an existing knowledge connector, specifying it can change settings or name. This distinguishes it from sibling tools like create, delete, get, and list.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides a key usage hint (set dryRun=false to commit), but does not explicitly guide when to use this tool vs alternatives like create or delete.

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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