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add_item_to_folder

Add an item (API request or example) to a specified folder within a Postman collection, updating the collection file directly.

Instructions

Add an item to a specific folder in the Postman collection

Args:
    file_path: The path to the Postman collection file (string)
    folder_name: The name of the folder to add the item to (string)
    item: The item dictionary to add (dict)
Returns:
    The updated Postman collection data (dict)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYes
folder_nameYes
itemYes
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It only states that the tool adds an item and returns the updated collection data, but does not reveal whether it modifies the file in place, what happens if the folder is missing, or any side effects. For a mutation tool, this is insufficient.

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 crisp and front-loaded with the core action. It uses a structured Args/Returns format that is easy to parse. Every sentence is necessary, though the Args could be integrated into the initial sentence for even better conciseness.

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

Completeness2/5

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

Despite the tool having three parameters, one being a nested object, and no output schema, the description does not cover common usage scenarios, error conditions, or the required structure of the 'item' dictionary. It leaves significant gaps for an AI agent to infer behavior, especially given the complexity of Postman collections.

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 0%, so the description must add meaning. The Args section repeats parameter names and types with minimal elaboration (e.g., 'The path to the Postman collection file'). The 'item' parameter is described as 'The item dictionary to add' but lacks structure specifications. This adds some value but is not rich enough for an agent to construct valid input.

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 action ('Add an item to a specific folder') and the resource ('Postman collection'), using a specific verb and resource. However, it does not differentiate from sibling tools like 'add_postman_collection_item' which adds an item directly to the collection root, leaving potential ambiguity for an AI agent.

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. It does not mention prerequisites (e.g., folder must exist), when-not scenarios, or list any alternative tools, despite the sibling list containing closely related options.

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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