Postman MCP Server
Provides specialized tools to automatically parse .NET C# controller code and migrate API endpoints to Postman, including support for routes, HTTP methods, XML documentation comments, and request body generation.
Enables comprehensive management of Postman collections, folders, and requests, allowing users to list, create, update, and delete API resources programmatically.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Postman MCP ServerSync endpoints from this C# controller to my 'API V1' collection."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Postman MCP Server
Model Context Protocol (MCP) server for integrating Postman API with Cursor IDE, enabling automatic migration of API endpoints from .NET controllers to Postman collections.
π― Features
β List Collections: List all Postman collections in workspace
β Get Collection: Get detailed collection information
β Create Collection: Create new Postman collections
β Create Folder: Create folders to organize requests (with auto-fix validation errors)
β Create Request: Create API requests manually
β Update Request: Update existing requests
β Delete Request: Delete requests by ID or name (with recursive search)
β Sync from Controller: Automatically parse .NET controller code and migrate endpoints to Postman
Related MCP server: Postman MCP Generator
π Requirements
Node.js >= 18.0.0
Postman API Key (Get from Postman Account Settings)
Cursor IDE with MCP support
π Quick Start
Step 1: Install Dependencies
cd .cursor/mcp-servers/postman
npm installStep 2: Build Project
npm run buildOr use the setup script:
./setup.shStep 3: Get Postman API Key
Go to Postman Account Settings
Create or copy your API Key (format:
PMAK-xxxxx-xxxxx)
Step 4: Configure Cursor MCP Settings
Add to Cursor MCP configuration (usually in ~/.cursor/mcp.json or Cursor Settings):
macOS - Get absolute path:
cd .cursor/mcp-servers/postman
./get-path.sh
# Script will copy path to clipboardConfiguration:
{
"mcpServers": {
"postman": {
"command": "node",
"args": ["/absolute/path/to/.cursor/mcp-servers/postman/dist/index.js"],
"env": {
"POSTMAN_API_KEY": "your-postman-api-key-here"
}
}
}
}Example for macOS:
{
"mcpServers": {
"postman": {
"command": "node",
"args": ["/Users/dangvietson/Desktop/feec-phase1-pm/feec-phase1-pmsystem/.cursor/mcp-servers/postman/dist/index.js"],
"env": {
"POSTMAN_API_KEY": "PMAK-xxxxx-xxxxx-xxxxx"
}
}
}
}Note: Replace /absolute/path/to/ with your actual absolute path.
Step 5: Restart Cursor IDE
Quit Cursor completely (
Cmd + Qon macOS)Reopen Cursor
Test: Type "List all Postman collections" in Cursor chat
π Usage Examples
1. List Collections
List all Postman collections2. Create Collection
Create a new Postman collection named "FEEC PM System APIs" with description "Project Management System API endpoints"3. Create Folder
Create folder "API V1" with description "Version 1.0 endpoints" in Postman collection 97f3e1da-a4e9-44f6-8d1a-83766a827e544. Create Request Manually
Create a new GET request in collection 97f3e1da-a4e9-44f6-8d1a-83766a827e54:
- Name: "Get User by ID"
- Method: GET
- URL: {{baseUrl}}/api/v1/users/{userId}
- Headers: Content-Type: application/json
- Description: Retrieve user details by ID5. Auto-Sync from Controller (Recommended)
Use the custom command /migrate-endpoint-to-postman or manually:
Sync API endpoints from this controller code to Postman collection 97f3e1da-a4e9-44f6-8d1a-83766a827e54:
[Paste full C# controller code here]
Base URL: http://localhost:5020
API Version: 1.0
Folder: PM System API V1The server will automatically:
Parse all HTTP endpoints (
[HttpGet],[HttpPost], etc.)Extract routes from
[Route]attributesExtract API version from
[ApiVersion]attributesExtract XML comments for descriptions
Extract API Code and Screen ID from comments
Generate request names:
{API Code} - {API Name}Generate request bodies for POST/PUT/PATCH
Handle path parameters (
{id:guid}β:id)Handle query parameters (
[FromQuery])Expand
PagedRequestintopageNumber,pageSize,searchTermAdd Authorization header only if
[Authorize]attribute is present
6. Delete Request
Delete request "Test API Request" from Postman collection PMSystemOr by ID:
Delete request with ID 8ea7c1f4-c9ba-4293-bbf4-b037f7962854 from collection 97f3e1da-a4e9-44f6-8d1a-83766a827e54π§ API Reference
Tool: list_collections
Description: List all Postman collections
Parameters: None
Returns: Array of collections with
id,name,uid
Tool: get_collection
Description: Get detailed collection information
Parameters:
collectionId(string, required): Collection ID (UID)
Returns: Full collection object with items, variables, etc.
Tool: create_collection
Description: Create new Postman collection
Parameters:
name(string, required): Collection namedescription(string, optional): Collection description
Returns: Created collection object
Tool: create_folder
Description: Create folder in collection to organize requests
Parameters:
collectionId(string, required): Collection IDname(string, required): Folder namedescription(string, optional): Folder description
Returns: Updated collection object
Features:
Auto-fixes invalid collection variables (type validation)
Creates folder with placeholder request (avoids empty folder validation error)
Preserves entire collection structure
Tool: create_request
Description: Create API request in collection
Parameters:
collectionId(string, required): Collection IDname(string, required): Request namemethod(string, required): HTTP method (GET, POST, PUT, DELETE, PATCH, HEAD, OPTIONS)url(string, required): Full URL or pathheaders(object, optional): HTTP headers as key-value pairsbody(object, optional): Request body for POST/PUT/PATCHmode: "raw", "urlencoded", "formdata"raw: JSON string for raw body
description(string, optional): Request descriptionfolderId(string, optional): Folder ID to organize requests
Returns: Updated collection object
Tool: update_request
Description: Update existing request
Parameters:
collectionId(string, required): Collection IDrequestId(string, required): Request ID (UID) to updatename,method,url,headers,body,description(optional): Fields to update
Returns: Updated collection object
Tool: delete_request
Description: Delete API request from collection
Parameters:
collectionId(string, required): Collection IDrequestId(string, optional): Request ID (UID) to deleterequestName(string, optional): Request name to find and delete
Returns: Updated collection object
Features:
Delete by ID or name
Recursive search in folders
Auto-fixes collection variables
Preserves collection structure
Tool: sync_from_controller
Description: Automatically migrate endpoints from .NET controller code
Parameters:
collectionId(string, required): Postman collection IDcontrollerCode(string, required): Full C# controller code with XML commentsbaseUrl(string, required): Base URL (e.g.,http://localhost:5020)apiVersion(string, optional): API version (default: "1.0")folderName(string, optional): Folder name to organize requests (will be created if not exists)
Returns: Summary of created requests with endpoint details
Features:
Parses
[Route],[HttpGet],[HttpPost],[HttpPut],[HttpDelete],[HttpPatch]attributesExtracts XML comments (
/// <summary>,API Code:,Screen ID:)Generates request names:
{API Code} - {API Name}(from summary)Generates request bodies from DTO properties
Handles path parameters (
{id:guid}β:idPostman format)Handles query parameters (
[FromQuery])Expands
PagedRequestinto individual query parametersAdds Authorization header only if
[Authorize]attribute is presentReplaces
[controller]placeholder with actual controller nameExtracts major version from API version (e.g., "1.0" β "v1")
Uses
{{baseUrl}}Postman variable for URLs
π¨ Controller Code Requirements
For sync_from_controller to work optimally:
β Controller must have
[ApiController]attributeβ Methods must have HTTP method attributes (
[HttpGet],[HttpPost], etc.)β XML comments with
/// <summary>for descriptionsβ
API Code: XXXXin comments for request namingβ
Screen ID: XXXXin comments (optional)
Example:
/// <summary>
/// Get vendor quotation history for specified vendors within a specific ES Version (v1.0)
/// API Code: QS0041
/// Screen ID: QS-L0004-2 (Estimation quotation vendor history)
/// </summary>
[HttpGet("quotation-history")]
public async Task<IActionResult> GetVendorQuotationHistory(
[FromQuery] Guid versionId,
[FromQuery(Name = "vendorId")] List<Guid> vendorIds,
CancellationToken cancellationToken)
{
// Implementation...
}Generated Request:
Name:
QS0041 - Get vendor quotation history for specified vendors within a specific ES VersionURL:
{{baseUrl}}/api/v1/Vendors/quotation-history?versionId=...&vendorId=...Method: GET
Headers: Only Authorization if
[Authorize]is present
π Development Workflow
Workflow 1: Manual Migration (Step-by-step)
Create Collection for each system (PM, DC, ES, QS, Master)
Develop API in .NET controller
Create Request in Postman via Cursor prompt
Test in Postman
Workflow 2: Auto-Sync (Bulk Migration) β Recommended
Develop API in .NET controller with complete XML comments
Use
/migrate-endpoint-to-postmancommand or sync manuallyVerify in Postman
Update if needed
Workflow 3: GitHub Actions Integration (Future)
Create GitHub Action workflow to auto-sync when PR is merged:
name: Sync APIs to Postman
on:
pull_request:
types: [closed]
jobs:
sync-postman:
if: github.event.pull_request.merged == true
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: actions/setup-node@v3
- run: |
# Parse changed controllers
# Call Postman MCP Server
# Create/update requestsπ Security Notes
API Key: Do not commit
POSTMAN_API_KEYto git (already in.gitignore)Local Only: Server runs locally, not exposed externally
Environment Variables: Use
.envfile if needed (do not commit)
π Troubleshooting
Server Not Starting
Check Node.js version:
node --version(requires >= 18)Check build:
npm run buildCheck absolute path in MCP config (must be absolute path)
After code changes: Quit Cursor completely and rebuild with
npm run build
Postman API Errors
Verify API Key: Check key format (
PMAK-...)Check API limits: Postman has rate limits
Verify Collection ID: Collection ID must be UID (not name)
Check workspace permissions: Need Editor or Admin role
Endpoints Not Parsed
Ensure controller code has complete attributes
Check XML comments format (must use
///)Verify route patterns
Check for
[ApiController]attribute
Request Names Not Correct
Ensure
API Code: XXXXis present in XML commentsCheck summary format in
<summary>tagsRebuild MCP server after code changes:
npm run build
Headers Not Added
Authorization header is only added when
[Authorize]attribute is explicitly presentNo default headers (X-API-Version, Accept, Content-Type) are added automatically
Headers are only added when explicitly defined in code (e.g.,
[FromHeader]parameters)
π Project Structure
.cursor/mcp-servers/postman/
βββ src/
β βββ index.ts # Main MCP server implementation
β βββ controller-parser.ts # .NET controller parser
βββ dist/ # Compiled JavaScript (after build)
βββ package.json
βββ tsconfig.json
βββ .gitignore
βββ README.md # This file
βββ get-path.sh # Helper script to get absolute path
βββ setup.sh # Setup script
βββ rebuild-after-quit.sh # Rebuild script after quitting Cursorπ οΈ Development
Run in Development Mode
npm run devType Check
npm run type-checkBuild
npm run buildImportant: After making code changes, you must:
Quit Cursor completely
Run
npm run buildReopen Cursor
Or use the helper script:
./rebuild-after-quit.shπ References
πΊοΈ Roadmap
β Completed Features
List collections
Get collection details
Create collection
Create folder (with auto-fix validation errors)
Create request
Update request
Delete request (by ID or name, recursive search)
Sync from .NET controller (parse routes, methods, parameters)
Extract XML comments (summary, API Code, Screen ID)
Generate request names:
{API Code} - {API Name}Handle path/query parameters
Expand
PagedRequestinto individual parametersAuthorization header based on
[Authorize]attributeNo default headers (only explicit headers from code)
π Planned Enhancements
Phase 1: Enhanced Parsing
Support for
[FromForm]parameters (multipart/form-data)Support for
[FromHeader]parameters (already parsed, need to add to headers)Better DTO property type detection
Support for nested DTOs
Extract validation rules from FluentValidation
Phase 2: Advanced Features
Update existing requests (detect changes and update)
Delete deprecated endpoints
Support for multiple API versions in same collection
Generate Postman tests from controller code
Support for authentication (JWT, API Key, etc.)
Phase 3: Integration
GitHub Actions integration (auto-sync on PR merge)
Support for other frameworks (FastAPI, Express.js, etc.)
Export collection to OpenAPI/Swagger
Import from OpenAPI/Swagger
π Best Practices
Naming: Use API Code in XML comments for consistent naming
Organization: Create folders by system/version for easy management
Documentation: Add descriptions for requests for better understanding
Testing: Test requests after migration to ensure correctness
Authorization: Use
[Authorize]attribute explicitly when authentication is requiredHeaders: Only add headers when explicitly defined in code
π€ Contributing
When adding new features:
Update this README with new features
Test thoroughly
Update roadmap section
Rebuild and test in Cursor
Last Updated: 2026-01-23
Version: 1.0.0
Status: β
Production Ready
Available Tools
8 toolscreate_collectionC
Create a new Postman collection
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Collection name | |
| description | No | Collection description |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure but only states the basic action. It doesn't mention authentication requirements, whether this creates a local or cloud collection, what happens on duplicate names, rate limits, or the response format. For a mutation tool with zero annotation coverage, this is inadequate.
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?
The description is a single, efficient sentence that communicates the core purpose without any wasted words. It's appropriately sized for a simple creation tool and gets straight to the point.
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 mutation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what happens after creation, whether the collection is immediately usable, what permissions are required, or what format the response takes. Given the complexity of creating a resource in an API platform, more context is needed.
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 parameters ('name' and 'description') clearly documented in the schema. The description doesn't add any parameter-specific information beyond what's already in the structured schema, so the baseline score of 3 is appropriate.
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?
The description clearly states the verb ('Create') and resource ('Postman collection'), making the purpose immediately understandable. However, it doesn't distinguish this tool from similar sibling tools like 'create_folder' or 'create_request' - all create operations on different Postman entities.
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?
No guidance is provided about when to use this tool versus alternatives. The description doesn't mention prerequisites, when collections should be created versus using existing ones, or how this relates to sibling tools like 'list_collections' or 'get_collection' for checking existing collections first.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_folderC
Create a new folder in a Postman collection
| Name | Required | Description | Default |
|---|---|---|---|
| collectionId | Yes | Postman collection ID (UID) | |
| name | Yes | Folder name | |
| description | No | Optional folder description |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool creates a folder but doesn't mention whether this requires specific permissions, if it's idempotent, what happens on failure, or what the response looks like (since there's no output schema). For a mutation tool with zero annotation coverage, this is a significant gap in transparency.
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?
The description is a single, efficient sentence that directly states the tool's purpose without any unnecessary words. It's appropriately sized and front-loaded, with every part of the sentence contributing essential information about what the tool does.
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?
Given that this is a mutation tool (creating a folder) with no annotations and no output schema, the description is incomplete. It doesn't address behavioral aspects like permissions, error handling, or response format, which are crucial for an agent to use the tool effectively. The 100% schema coverage helps with parameters, but other contextual gaps remain significant.
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?
The description adds no parameter semantics beyond what the input schema already provides. Since schema description coverage is 100%, the schema fully documents all three parameters (collectionId, name, description) and their requirements. The description doesn't explain parameter relationships, constraints, or usage examples, so it meets the baseline of 3 where the schema does the heavy lifting.
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?
The description clearly states the action ('Create a new folder') and the resource ('in a Postman collection'), providing a specific verb+resource combination. However, it doesn't explicitly differentiate this tool from sibling tools like 'create_collection' or 'create_request', which would require mentioning what makes folder creation distinct from those other creation operations.
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?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing collection), exclusions, or comparisons to sibling tools like 'create_collection' for creating collections instead of folders. This leaves the agent without context for tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_requestB
Create a new API request in a Postman collection
| Name | Required | Description | Default |
|---|---|---|---|
| collectionId | Yes | Postman collection ID (UID) where to add the request | |
| name | Yes | Request name (e.g., 'Get User by ID') | |
| method | Yes | HTTP method | |
| url | Yes | Full URL or path (e.g., 'https://api.example.com/users/{id}' or '/api/v1/users/{id}') | |
| headers | No | HTTP headers as key-value pairs | |
| body | No | Request body (for POST/PUT/PATCH) | |
| description | No | Request description/documentation | |
| folderId | No | Optional: Folder ID to organize requests. If provided, request will be created in this folder. | |
| folderName | No | Optional: Folder name to organize requests. Will auto-find folderId. Takes precedence over folderId if both provided. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. While 'Create' implies a write operation, it doesn't address permissions needed, whether the operation is idempotent, what happens on duplicate names, or what the response looks like. For a creation tool with 9 parameters and no annotation coverage, this leaves significant behavioral gaps.
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?
The description is a single, efficient sentence that states exactly what the tool does with zero wasted words. It's appropriately sized for a creation tool and front-loads the essential information without unnecessary elaboration.
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 creation tool with 9 parameters, no annotations, and no output schema, the description is insufficient. It doesn't explain what happens after creation, error handling, or behavioral constraints. While the schema documents parameters well, the overall context for using this tool remains incomplete for an AI agent.
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%, so all parameters are documented in the schema itself. The description doesn't add any parameter-specific information beyond what's already in the schema descriptions. This meets the baseline expectation when schema coverage is complete.
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?
The description clearly states the specific action ('Create a new API request') and resource ('in a Postman collection'), distinguishing it from siblings like create_collection or create_folder. It uses precise terminology that leaves no ambiguity about what the tool does.
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?
The description provides no guidance on when to use this tool versus alternatives like update_request or delete_request. There's no mention of prerequisites (e.g., needing an existing collection), error conditions, or typical use cases. The agent must infer usage from the tool name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
delete_requestC
Delete an API request from a Postman collection
| Name | Required | Description | Default |
|---|---|---|---|
| collectionId | Yes | Postman collection ID (UID) | |
| requestId | No | Request ID (UID) to delete. Can also use request name to find and delete. | |
| requestName | No | Optional: Request name to find and delete (alternative to requestId) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool deletes a request, implying a destructive mutation, but fails to mention critical details like permission requirements, whether deletion is reversible, error handling, or rate limits. This leaves significant gaps in understanding the tool's behavior.
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?
The description is a single, direct sentence that efficiently conveys the core action without unnecessary words. It is front-loaded and appropriately sized, making it easy for an agent to parse quickly.
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?
Given the tool's destructive nature, lack of annotations, and absence of an output schema, the description is incomplete. It does not address behavioral aspects like side effects, return values, or error conditions, which are crucial for safe and effective tool invocation in this context.
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?
The input schema has 100% description coverage, documenting all three parameters clearly. The description does not add any additional meaning or context beyond what the schema provides, such as explaining parameter interactions or usage nuances. Thus, it meets the baseline for high schema coverage.
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?
The description clearly states the action ('Delete') and the resource ('an API request from a Postman collection'), providing a specific verb+resource combination. However, it does not explicitly differentiate from sibling tools like 'update_request' or 'create_request' in terms of purpose, which prevents a perfect score.
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?
The description offers no guidance on when to use this tool versus alternatives, such as 'update_request' for modifications or other deletion-related tools. It lacks context on prerequisites, exclusions, or specific scenarios, leaving the agent without usage direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_collectionC
Get details of a specific Postman collection by ID
| Name | Required | Description | Default |
|---|---|---|---|
| collectionId | Yes | Postman collection ID (UID) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool 'Get details' but doesn't clarify whether this is a read-only operation, what permissions are required, how errors are handled, or what format the details are returned in. This leaves significant gaps in understanding the tool's behavior.
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?
The description is a single, clear sentence that efficiently conveys the core purpose without any unnecessary words. It is appropriately sized and front-loaded, making it easy to parse quickly.
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?
Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what 'details' are returned, how to interpret them, or any behavioral aspects like error handling. For a tool with no structured metadata, the description should provide more context to be fully useful.
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?
The schema description coverage is 100%, with the single parameter 'collectionId' fully documented in the schema as 'Postman collection ID (UID)'. The description adds no additional semantic context beyond what the schema already provides, so it meets the baseline score of 3.
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?
The description clearly states the tool's purpose with a specific verb ('Get details') and resource ('specific Postman collection by ID'), making it easy to understand what the tool does. However, it doesn't explicitly differentiate from sibling tools like 'list_collections', which retrieves multiple collections rather than a single one by ID.
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?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention when to choose 'get_collection' over 'list_collections' or other sibling tools, nor does it specify any prerequisites or contextual usage scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_collectionsB
List all Postman collections
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action but doesn't describe what 'List all' entailsβsuch as pagination, sorting, filtering, or response formatβleaving critical behavioral traits unspecified for a tool that likely returns multiple items.
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?
The description is a single, efficient sentence that directly states the tool's purpose without any fluff. It's front-loaded and wastes no words, making it easy for an agent to parse quickly.
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?
Given the complexity of listing multiple items and the lack of annotations and output schema, the description is incomplete. It doesn't address behavioral aspects like how results are returned, potential limits, or error handling, which are essential for an agent to use the tool effectively.
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?
The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately doesn't add parameter details, and the baseline score is 4 for tools with zero parameters, as it avoids unnecessary complexity.
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?
The description clearly states the verb ('List') and resource ('all Postman collections'), making the purpose immediately understandable. However, it doesn't differentiate from potential sibling tools like 'get_collection' which might retrieve a single collection, leaving some ambiguity about scope.
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?
No guidance is provided on when to use this tool versus alternatives like 'get_collection' or 'sync_from_controller'. The description lacks context about prerequisites, timing, or exclusions, leaving the agent to infer usage from the tool name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
sync_from_controllerB
Auto-migrate API endpoint from .NET controller code to Postman
| Name | Required | Description | Default |
|---|---|---|---|
| collectionId | Yes | Postman collection ID | |
| controllerCode | Yes | Full C# controller code with XML comments | |
| baseUrl | Yes | Base URL (e.g., 'http://localhost:5020' or 'https://api.example.com') | |
| apiVersion | No | API version (e.g., '1.0') - extracted from [ApiVersion] attribute | 1.0 |
| folderName | No | Optional: Folder name to organize requests (will be created if not exists) | |
| folderId | No | Optional: Folder ID to organize requests. Takes precedence over folderName if both provided. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'auto-migrate' but fails to detail critical behaviors: whether this is a read-only or write operation (implied mutation), how conflicts are handled, what happens to existing endpoints, authentication needs, rate limits, or error responses. This leaves significant gaps for an agent to understand the tool's impact.
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?
The description is a single, efficient sentence that front-loads the core purpose without unnecessary elaboration. Every word contributes directly to understanding the tool's function, making it appropriately sized and structured for quick comprehension.
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?
Given the complexity of a migration tool with 6 parameters, no annotations, and no output schema, the description is incomplete. It lacks details on behavioral traits, error handling, output format, and integration with sibling tools, leaving the agent with insufficient context to use it effectively beyond basic parameter passing.
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%, so the schema already documents all parameters thoroughly. The description adds no additional meaning beyond the schema, such as explaining relationships between parameters (e.g., folderName vs. folderId precedence) or usage examples. Baseline 3 is appropriate as the schema does the heavy lifting.
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?
The description clearly states the specific action ('auto-migrate') and resources involved ('.NET controller code to Postman API endpoint'), distinguishing it from sibling tools that perform individual operations like create_collection or update_request. It precisely communicates the tool's function without being vague or tautological.
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?
The description provides no guidance on when to use this tool versus alternatives like manually creating requests with create_request or organizing collections with create_folder. It lacks context about prerequisites, such as needing an existing Postman collection, or exclusions, like not handling non-.NET code.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
update_requestC
Update an existing API request in a Postman collection
| Name | Required | Description | Default |
|---|---|---|---|
| collectionId | Yes | Postman collection ID | |
| requestId | Yes | Request ID (UID) to update | |
| name | No | Updated request name | |
| method | No | ||
| url | No | ||
| headers | No | ||
| body | No | ||
| description | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states it's an update operation, implying mutation, but doesn't cover critical aspects like required permissions, whether changes are reversible, error handling, or response format. This is inadequate for a mutation tool with zero annotation coverage.
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?
The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's front-loaded and appropriately sized, making it easy to parse quickly.
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?
Given the complexity (8 parameters with nested objects, low schema coverage, no annotations, and no output schema), the description is insufficient. It doesn't address behavioral traits, parameter details, or output expectations, leaving significant gaps for a mutation tool that modifies API requests.
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 low at 38%, with only 'collectionId' and 'requestId' documented. The description doesn't add any parameter-specific information beyond the tool's general purpose, failing to compensate for the coverage gap. For example, it doesn't explain what 'body.mode' enums mean or how 'headers' should be structured.
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?
The description clearly states the action ('Update') and the resource ('an existing API request in a Postman collection'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'create_request' or 'delete_request', which would require mentioning it modifies rather than creates or removes requests.
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?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing request), exclusions, or compare to siblings like 'create_request' for new requests or 'delete_request' for removal, leaving usage context unclear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
TDQS
Each tool has a clearly distinct purpose targeting specific Postman entities (collections, folders, requests) with unambiguous actions. There is no overlap between tools like create_collection, create_folder, and create_request, which operate on different resources.
All tools follow a consistent verb_noun pattern using snake_case (e.g., create_collection, list_collections, update_request). The naming is predictable and uniform across all eight tools, making them easy to identify and use.
With 8 tools, the server is well-scoped for managing Postman collections and requests. Each tool serves a clear purpose in the domain, covering essential operations without being overly sparse or bloated, which is appropriate for this functionality.
The tool set provides strong CRUD coverage for collections and requests, including create, get, list, update, and delete operations. However, there are minor gaps such as missing update/delete for collections and folders, and the sync_from_controller tool stands out as a specialized feature not fully integrated into the core workflow.
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