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Polarion MCP Server

postTestRecords

Create test records for a specified Polarion test run. Use dry-run to preview the exact request before sending it.

Instructions

Creates a list of Test Records. 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 Test Record(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": "elibrary/MyTestRunId/MyProjectId/MyTestcaseId/0",
      +            "type": "string"
      +          },
      +          "links": {
      +            "properties": {
      +              "self": {
      +                "example": "server-host-name/application-path/projects/elibrary/testruns/MyTestRunId/testrecords/MyProjectId/MyTestcaseId/0",
      +                "type": "string"
      +              }
      +            },
      +            "type": "object"
      +          },
      +          "type": {
      +            "enum": [
      +              "testrecords"
      +            ],
      +            "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

A4.2/5.0
Behavior4/5

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

Annotations already signal non-idempotence via idempotentHint=false, but the description adds the practical consequence: identical input creates a duplicate on every call. It also discloses the dry_run behavior, including the important nuance that the preview may come back error-flagged but should still be read. No contradiction with readOnlyHint=false or destructiveHint=false.

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?

Three sentences with the core purpose and non-idempotency front-loaded. The final sentence about the error-flagged dry_run output is relevant but slightly verbose and could be tightened.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has a rich nested input schema and an output schema, so the description only needs to add what is not otherwise visible: side-effect semantics and dry-run behavior. Combined with complete parameter descriptions in the schema, an agent has enough information to select and invoke it correctly.

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?

All four parameters have their own descriptions in the input schema, so the tool description does not need to reconstruct their meaning. It adds a helpful usage tip about dry_run, but that does not clarify any parameter beyond what the schema already provides. Baseline 3 is appropriate given full schema coverage.

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?

States a specific action ('Creates a list of Test Records') with a clear target resource, and the non-idempotency sentence makes its effect unambiguous. The verb and resource distinguish it from siblings such as getTestRecords, patchTestRecords, and deleteTestRecord without needing to inspect their schemas.

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 clearly implies when to use it: to create new Test Records, reinforced by the warning that repeated calls with the same input create duplicates. It provides useful context about the dry_run preview, but it never names alternatives or explicitly states when not to use it, such as routing updates to patchTestRecords.

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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