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Polarion MCP Server

patchTestStep

Idempotent

Update a specific test step in Polarion by providing its project ID, work item ID, and index. Use dry_run to preview the exact API request before making changes; repeat calls leave the resource unchanged.

Instructions

Updates the specified Test Step. Cardinality: targets a single item by ID. For the full collection or a batch, use patchTestSteps 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.
testStepIndexYesThe Test Step index.

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

A4.6/5.0
Behavior5/5

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

Beyond the annotations, the description adds idempotency semantics ('same end state, with no additional side effects') and explains the dry-run preview behavior, including the non-obvious error-flagged result. This gives agents an accurate model of what happens before and after the call.

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?

Every sentence earns its place: purpose, cardinality, sibling alternative, idempotency, and dry-run guidance are all packed in without redundancy. The most important scoping information is front-loaded.

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?

The description is highly complete for a single-item patch tool: it covers scope, alternatives, idempotency, and preview behavior, while the schema covers parameters. The only minor gap is that the expected return value is not described, and the typed-output-schema sentence may be slightly less relevant given this tool has no output schema.

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?

Input schema coverage is 100%, so the schema already documents all parameters thoroughly. The description references dry_run but does not add much parameter-specific meaning beyond what the schema provides, which meets the baseline but does not exceed it.

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 verb and resource ('Updates the specified Test Step') and explicitly narrows the scope to a single item by ID. It also distinguishes itself from the batch sibling patchTestSteps, leaving no ambiguity about what this tool targets.

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?

Explicitly tells the agent when to use a different tool ('For the full collection or a batch, use patchTestSteps instead') and gives a concrete invocation strategy via the dry_run tip. This is exactly the kind of when-to-use guidance agents need.

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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