Skip to main content
Glama
phillipboesger

Polarion MCP Server

postTestRunComments

Create test run comments in Polarion. Use dry-run first to preview the request and avoid duplicates.

Instructions

Creates a list of Test Run Comments. 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.
testRunIdYesThe Test Run's ID within its project.
requestBodyYesThe Comment(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 / testRunId / description
      Previous value: -"The Test Run ID."New value: +"The Test Run's ID within its project."
  2. Changed1 schema field changedv1.1.0
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "data": {
      +      "items": {
      +        "properties": {
      +          "id": {
      +            "example": "MyProjectId/MyTestRunId/MyCommentId",
      +            "type": "string"
      +          },
      +          "links": {
      +            "properties": {
      +              "self": {
      +                "example": "server-host-name/application-path/projects/MyProjectId/testruns/MyTestRunId/comments/MyCommentId?revision=1234",
      +                "type": "string"
      +              }
      +            },
      +            "type": "object"
      +          },
      +          "type": {
      +            "enum": [
      +              "testrun_comments"
      +            ],
      +            "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

A4.1/5.0
Behavior4/5

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

Annotations already signal non-idempotency and non-read-only, but the description adds meaningful context: repeated calls create duplicates, and dry_run returns an error-flagged preview that must still be read as text. This goes beyond what the annotations alone communicate.

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 compact and well-structured: purpose, behavioral effect, and usage tip each in their own sentence. The dry_run explanation is slightly verbose but earns its place because it addresses a non-obvious behavior.

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?

For a create tool with a rich input schema and an output schema, the description covers the essential non-obvious aspects: non-idempotency and the dry_run preview behavior. It could be more complete by referencing sibling patch/get tools, but nothing critical is missing for correct invocation.

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 description coverage is 100%, so the baseline is 3. The description adds value beyond the schema by explaining how dry_run behaves with typed output schemas and that the preview is returned as an error-flagged result, which is not obvious from the schema alone.

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 opens with a specific verb and resource: 'Creates a list of Test Run Comments.' It clearly distinguishes this from sibling tools like getTestRunComments and patchTestRunComments by emphasizing creation, and the added 'Effect' clause reinforces what the operation does.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description conveys clear context for the create action and provides a concrete workflow tip (use dry_run first), but it does not explicitly state when NOT to use this tool or mention alternatives such as patchTestRunComments for updates. Usage is implied rather than directly contrasted with siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

Other Tools