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TsvetanG2

cognigy-ai-mcp-management-server

delete_snapshot

DestructiveIdempotent

Permanently removes a snapshot from a Cognigy.AI project. Use dry run to validate before irreversible deletion.

Instructions

Deletes a snapshot from a Cognigy.AI project. DESTRUCTIVE & IRREVERSIBLE: The snapshot and all its data will be permanently removed. Use dryRun=true (default) to validate first. Async operation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dryRunNoIf true (default), validates without deleting. Set to false to actually delete. WARNING: This is irreversible!
timeoutMsNoMaximum time to wait for deletion (5-300 seconds, default 60)
snapshotIdYesThe snapshot ID to delete
pollIntervalMsNoHow often to check task status (1-10 seconds, default 2)
Behavior4/5

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

Beyond annotations (destructiveHint=true), the description emphasizes 'DESTRUCTIVE & IRREVERSIBLE' and mentions permanent data removal. It also discloses the asynchronous nature and dry-run validation, adding valuable behavioral context.

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 sentences with no wasted words. Front-loaded with purpose, then key warnings, then usage tip. Highly efficient and structured.

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?

For a delete operation with no output schema, the description covers essential behavioral aspects (destructive, async, dry-run). However, it does not explain return values or task tracking, which could be helpful given the async nature.

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 coverage is 100%, so baseline is 3. The description adds minimal extra meaning, only reinforcing the dryRun parameter's validation purpose. No additional syntax or format details beyond 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 explicitly states 'Deletes a snapshot from a Cognigy.AI project,' providing a specific verb and resource. It clearly distinguishes from sibling tools like list_snapshots, get_snapshot, and other delete tools.

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 advises using dryRun=true to validate before actual deletion, and notes asynchronous execution. This provides clear guidance on safe usage, though it does not explicitly enumerate when not to use the 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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