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Polarion MCP Server

patchTestSteps

Idempotent

Update multiple test steps in a Polarion work item as a batch. Use dry_run to preview the request first.

Instructions

Updates a list of Test Steps. Cardinality: targets the full collection or a batch. For a single item by ID, use patchTestStep instead. Effect: idempotent — calling it again with the same input leaves the resource in the same end state, with no additional side effects. 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 Test Step(s) body.

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 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"
      +}
  3. First observedv1.0.0

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already provide idempotentHint=true, and the schema already describes dry_run behavior. The description restates idempotency and dry-run without adding substantially new traits; the error-flag caveat only applies to tools with a typed output schema, which this tool lacks. No contradiction, but limited incremental value.

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 front-loaded with purpose and uses clear label prefixes (Cardinality, Effect, Tip) for scannability. It is somewhat verbose, especially the output-schema caveat, but each sentence contributes guidance.

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?

Together with the comprehensive schema and annotations, the description covers operation, batch vs single scope, idempotency, and dry-run usage. It does not specify response or error behavior, but since there is no output schema, this is a minor gap.

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?

Schema description coverage is 100%, so the schema already documents all parameters. The description adds a cardinality hint for requestBody ('full collection or a batch') but does not otherwise enrich parameter-level meaning, warranting the baseline score of 3.

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 'Updates a list of Test Steps' – a specific verb and resource. It clearly distinguishes this tool from the singular patchTestStep by mentioning cardinality and explicitly naming the sibling for single-item updates.

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

Usage Guidelines5/5

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

It explicitly states when to use this tool ('full collection or a batch') and directs to the alternative: 'For a single item by ID, use `patchTestStep` instead.' This gives the agent a clear decision rule.

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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