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TsvetanG2

cognigy-ai-mcp-management-server

package_snapshot

Package a Cognigy.AI snapshot into a downloadable file for transfer or backup. Requires setting dryRun to false.

Instructions

Packages a Cognigy.AI snapshot for download or transfer. Creates a downloadable package from the snapshot. Use create_snapshot_download_link after packaging to get the download URL. MUTATING: Set dryRun=false to package. Async operation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dryRunNoIf true (default), validates without packaging. Set to false to actually package.
timeoutMsNoMaximum time to wait for packaging (5-600 seconds, default 120)
snapshotIdYesThe snapshot ID to package
pollIntervalMsNoHow often to check task status (1-10 seconds, default 3)
Behavior4/5

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

Annotations set readOnlyHint=false and destructiveHint=false. Description adds context: 'MUTATING: Set dryRun=false to package. Async operation.' This goes beyond annotations by explaining the actual side effect and execution model.

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: purpose, next step, behavioral flags. No redundant information; efficiently communicates key points.

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?

Given 4 parameters, no output schema, and extensive sibling tools, the description covers purpose, usage flow, and critical behavioral cues. Lacks return value details, but adequate 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% with descriptive parameter descriptions. Description adds value by clarifying the critical dryRun behavior (validation vs. actual packaging) and async nature, supplementing the 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 the tool packages a snapshot for download/transfer, with a specific verb and resource. It distinguishes from sibling tools like create_snapshot_download_link.

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 sequential guidance to use create_snapshot_download_link after packaging. Explicitly mentions mutating nature and dryRun necessity, helping the agent decide when to use this tool.

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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