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Polarion MCP Server

postWorkItemApprovals

Create work item approvals in Polarion by specifying project, work item ID, and approval data. Use dry_run to preview the exact request before committing.

Instructions

Creates a list of WorkItem Approvals. Effect: creates a new resource on each call — calling it again with the same input creates a duplicate; it is not idempotent. Tip: set dry_run: true first to preview the exact request Polarion would receive, without changing anything. On tools with a typed output schema, this preview is returned as an error-flagged result since it is not real tool output -- read the text content regardless of that flag.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dry_runNoIf true, validates the request and returns the exact request that would be sent to Polarion — with the Authorization header redacted and any binary payload summarized by byte length — without actually sending it.
projectIdYesThe Polarion project ID (its URL segment, e.g. `myproject`), case-sensitive. Required to scope the request to one project; call getProjects to list valid IDs.
workItemIdYesThe Work Item's ID within its project (e.g. `WI-123`), not the combined `project/id` path used in some link payloads.
requestBodyYesThe Linked Work Item(s) body.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changedv1.2.0
    • changedInput schema / properties / dry_run / description
      Previous value: -"If true, validate and return the request that would be sent without calling Polarion."New value: +"If true, validates the request and returns the exact request that would be sent to Polarion — with the Authorization header redacted and any binary payload summarized by byte length — without actually sending it."
    • changedInput schema / properties / projectId / description
      Previous value: -"The Project ID."New value: +"The Polarion project ID (its URL segment, e.g. `myproject`), case-sensitive. Required to scope the request to one project; call getProjects to list valid IDs."
    • changedInput schema / properties / workItemId / description
      Previous value: -"The Work Item ID."New value: +"The Work Item's ID within its project (e.g. `WI-123`), not the combined `project/id` path used in some link payloads."
  2. Changed1 schema field changedv1.1.0
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "data": {
      +      "items": {
      +        "properties": {
      +          "id": {
      +            "example": "MyProjectId/MyWorkItemId/MyUserId",
      +            "type": "string"
      +          },
      +          "links": {
      +            "properties": {
      +              "self": {
      +                "example": "server-host-name/application-path/projects/MyProjectId/workitems/MyWorkItemId/approvals/MyUserId?revision=1234",
      +                "type": "string"
      +              }
      +            },
      +            "type": "object"
      +          },
      +          "type": {
      +            "enum": [
      +              "workitem_approvals"
      +            ],
      +            "type": "string"
      +          }
      +        },
      +        "type": "object"
      +      },
      +      "type": "array"
      +    }
      +  },
      +  "type": "object"
      +}
  3. Changed1 schema field changed
    • addedInput schema / properties / dry_run
      Added value: +{
      +  "description": "If true, validate and return the request that would be sent without calling Polarion.",
      +  "type": "boolean"
      +}
  4. First observedv1.0.0

TDQS

A4.6/5.0
Behavior5/5

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

Discloses non-idempotency and duplicate creation, and details the dry_run preview behavior including the error-flagged output nuance. This goes well beyond the annotations, which only state idempotentHint=false, and gives the agent concrete expectations.

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 concise sentences cover purpose, side effect, and usage tip with no redundancy. The key creation semantics are front-loaded, and each sentence earns its place.

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?

Handles the write-operation caveats (duplicates), dry_run workflow, and preview behavior. With an output schema present, return-value explanation is unnecessary. Minor absence: no mention of authentication or prerequisite user existence, but the schema covers required fields sufficiently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with detailed parameter descriptions, so the baseline is 3. The description adds practical value by recommending dry_run and explaining how its preview is returned (error-flagged text content), which is meaningful beyond the schema.

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 begins with 'Creates a list of WorkItem Approvals', naming a specific verb and resource. It also explicitly states the side effect of duplicate creation, which distinguishes it from related tools like getWorkItemApprovals and patchWorkItemApprovals without requiring schema inspection.

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 creation semantics are self-evident)Skip and the dry_run tip gives a clear safe-preview workflow. However, it does not explicitly contrast with patch/delete approval siblings, leaving the 'when not to use' slightly implicit.

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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