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Generate a collection from spec

generateCollection

Convert an existing API specification into a collection. Supply spec ID, name, and options; the response includes a polling link to monitor task progress.

Instructions

Creates a collection from the given API specification. The specification must already exist or be created before it can be used to generate a collection. The response contains a polling link to the task status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe generated collection's name.
specIdYesThe spec's ID.
optionsYesThe advanced creation options and their values. For more details, see Postman's [OpenAPI to Postman Collection Converter OPTIONS documentation](https://github.com/postmanlabs/openapi-to-postman/blob/develop/OPTIONS.md). These properties are case-sensitive.
elementTypeYesThe `collection` element type.
Behavior4/5

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

Annotations already convey openness (openWorldHint=true) and non-read-only nature (readOnlyHint=false), which the description aligns with via 'Creates a collection.' The description adds valuable behavioral context beyond annotations: the prerequisite constraint and the asynchronous polling-link response pattern. It could be enhanced by noting side effects or rate-limit concerns for this resource-creating operation, but the annotation disclosure is non-contradictory and sufficiently augmented.

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 sentences, each earning its place: first defines the action, second states the prerequisite, third describes the response. Front-loaded with the most important information and contains zero fluff or filler. This is a model of concise, value-dense description writing.

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?

With a moderately complex nested `options` object (9 sub-fields) and no output schema, the description does well to highlight the async nature via the polling link. The schema carries the full load on parameters, which it does thoroughly. A note on return type or error cases (e.g., what happens on invalid specId) could push this higher, but for the given scope, it's largely sufficient. The polling-link hint meaningfully compensates for the absent output schema.

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 description coverage is 100% across all 4 required parameters, so the baseline is 3, and the description adds no parameter-level details beyond what's in the schema. The description's mention of the spec existence requirement and the polling response is tangentially related but doesn't add new parameter semantics. With no param gaps in the schema, the description is not penalized further, but neither does it earn bonus credit — exactly the baseline.

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 ('Creates'), resource ('collection'), and source ('from the given API specification'), which is specific and distinguishes it from sibling tools like `createCollection`. However, it doesn't explicitly contrast itself with siblings like `createCollection` or `syncCollectionWithSpec`, so it misses the full 5. The prerequisite note ('specification must already exist') adds useful scope definition.

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 context on when to use this tool: after a spec exists ('must already exist or be created before it can be used') and informs the agent about the async response behavior ('response contains a polling link to the task status'). However, it doesn't explicitly mention when NOT to use it or name alternatives, which would be needed for a 5.

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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