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TsvetanG2

cognigy-ai-mcp-management-server

upload_snapshot_package

Upload a snapshot package file to a Cognigy.AI project to restore or transfer a snapshot between environments. Set dryRun to false to execute the upload.

Instructions

Uploads a snapshot package file to a Cognigy.AI project. Use this to restore a previously downloaded snapshot or transfer a snapshot between environments. MUTATING: Set dryRun=false to upload. Async operation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dryRunNoIf true (default), validates the file exists without uploading. Set to false to actually upload.
filePathYesLocal file path to the snapshot package file (e.g., './snapshot.csnap' or 'C:/snapshots/backup.csnap')
projectIdYesThe target project ID to upload the snapshot package to
timeoutMsNoMaximum time to wait for upload and processing (5-600 seconds, default 180)
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?

The description adds behavioral context beyond annotations: it explicitly states 'MUTATING' and 'Async operation', which align with annotations (readOnlyHint=false). It also notes the dryRun parameter's effect. No contradictions are present.

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

Conciseness4/5

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

The description is concise (3 sentences) and front-loaded with the key purpose. Every sentence adds value without redundancy. A slightly more structured breakdown (e.g., separating usage from behavior) could improve clarity but is not necessary.

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

Completeness3/5

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

Given the tool's moderate complexity and the absence of an output schema, the description covers core aspects (purpose, mutating, async). However, it omits details like post-upload behavior (e.g., whether a task is returned) or prerequisites, which would enhance completeness.

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?

With 100% schema coverage, the baseline is 3. The description adds minimal extra meaning beyond the schema (e.g., linking dryRun=false to actual upload). It does not significantly enhance understanding of the other parameters.

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

Purpose4/5

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

The description clearly states the verb ('Uploads') and the resource ('snapshot package file to a Cognigy.AI project'), and provides specific use cases (restore or transfer between environments). However, it does not explicitly differentiate from the sibling tool 'upload_package', which may cause ambiguity.

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?

The description provides clear usage context: restoring or transferring snapshots. It also hints at when to use the dryRun parameter ('Set dryRun=false to upload'). However, it does not explicitly state when not to use this tool or suggest alternatives among siblings.

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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