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Polarion MCP Server

deleteTestRunTestParameters

DestructiveIdempotent

Removes multiple Test Parameters from a specified Test Run by providing a list of IDs. Preview with dry_run to avoid irreversible deletion.

Instructions

Deletes a list of Test Parameters for the specified Test Run. Cardinality: targets the full collection or a batch. For a single item by ID, use deleteTestRunTestParameter instead. Effect: irreversible — data removed or overwritten by this call cannot be recovered through the API. 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 Parameter(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 / testRunId / description
      Previous value: -"The Test Run ID."New value: +"The Test Run's ID within its project."
  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

A4.5/5.0
Behavior5/5

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

Beyond the annotations (destructiveHint=true, readOnlyHint=false), the description adds critical context: the operation is irreversible and data cannot be recovered through the API. It also discloses the dry_run preview behavior, including the nuance that preview results are error-flagged. This goes well beyond what annotations provide, fully disclosing the destructive and non-idempotent nature despite the idempotentHint annotation (which is about repeatability, not non-destructiveness). No contradiction with annotations.

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 concise and front-loaded with the primary purpose, followed by cardinality, alternative routing, and a practical tip. Each sentence adds value, though the dry_run tip is slightly verbose. Overall, it is well-structured and efficient.

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 covers essential operational context: scope (list vs single), irreversibility, and a safe preview mechanism. Given the nested requestBody schema is fully documented and there is no output schema, the description provides sufficient context for an agent to invoke the tool correctly. A small gap is the lack of explicit mention of required parameters, but these are clear from the 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?

The input schema already provides 100% coverage with descriptions for all parameters, including dry_run, projectId, testRunId, and requestBody. The description adds minimal extra semantics beyond what the schema provides, such as the cardinality note. Since the schema carries the parameter meaning effectively, a baseline score of 3 is appropriate.

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 clearly states the verb 'Deletes' and the resource 'a list of Test Parameters for the specified Test Run'. It explicitly differentiates from the singular variant `deleteTestRunTestParameter`, making the scope unambiguous. An agent can immediately understand what this tool does and how it differs from its sibling.

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?

The description provides explicit guidance on when to use this tool versus the alternative: 'For a single item by ID, use `deleteTestRunTestParameter` instead.' This directly addresses selection criteria, leaving no ambiguity about which tool to choose based on the cardinality of the operation.

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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