getGeneratedCollectionSpecsRetrieves the generated API specification for a Postman collection by its unique ID, so AI agents can inspect specs for automation or validation.
Gets the API specification generated for the given collection.
| Name | Required | Description | Default |
|---|---|---|---|
| elementType | Yes | The `spec` value. | |
| collectionUid | Yes | The collection's unique ID. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered by structured data. The description adds nothing beyond that — no note on what happens if no spec has been generated yet, no error behavior, no scoping caveats.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with no filler or repetition. It is efficient, though its brevity is closer to under-specification than to tightly packed information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a two-parameter, read-only tool with full schema coverage and clear annotations, the description is minimally adequate. With no output schema present, a sentence describing what the returned spec contains (or when generation must occur first) would close the remaining gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with both collectionUid and elementType documented in the schema (including the const value 'spec'), so the baseline of 3 applies. The description's phrase 'for the given collection' restates the collectionUid parameter without adding format, constraint, or example detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb ('Gets') and resource ('the API specification generated for the given collection'), and the word 'generated' usefully distinguishes it from sibling readers like getSpec, getSpecDefinition, and getAllSpecs. It stops short of explicitly naming which sibling to prefer in which situation, so it is clear but not fully differentiated.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no when-to-use guidance, no mention of prerequisites, and no reference to alternatives such as getSpec, getSpecDefinition, or generateSpecFromCollection, which occupy adjacent territory. The agent must infer from the name alone that this retrieves previously generated specs rather than raw ones.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.