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TsvetanG2

cognigy-ai-mcp-management-server

list_packages

Read-onlyIdempotent

Retrieve a list of packages from a Cognigy.AI project. Packages bundle flows, intents, and resources for transfer between environments.

Instructions

Lists packages in a Cognigy.AI project. Packages are portable bundles of resources (flows, intents, etc.) that can be transferred between projects or environments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of packages to return (1-100, default 25)
projectIdNoProject ID to list packages for. If omitted, lists all accessible packages.
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint, so the description need not repeat these. However, it adds no additional behavioral context (e.g., pagination behavior, response format) beyond the schema. It does not contradict annotations.

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?

The description is two sentences, front-loaded with the action, and provides a clear definition of packages. No unnecessary information.

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?

For a simple list operation with well-annotated schema and annotations, the description is sufficient. It explains what packages are, which adds context. No output schema exists, but a brief note on the return type would improve 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?

Schema coverage is 100%, with both parameters having descriptions. The tool description adds no extra meaning beyond what the schema provides. It does not elaborate on the limit or projectId parameters.

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 that the tool lists packages, with a definition of what packages are. This distinguishes it from sibling tools like create_package, get_package, and delete_package, which operate on individual packages.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. With many sibling list tools (e.g., list_projects, list_flows), it does not specify when listing packages is appropriate or how it differs from other listing operations.

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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