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Polarion MCP Server

Polarion MCP Server

by phillipboesger
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TypeScript
Hybrid

deleteProjectTestParameterDefinitions

DestructiveIdempotent

Deletes a batch of Test Parameter Definitions from a specified Polarion project; use dry_run first to validate and preview the irreversible request.

Instructions

Deletes a list of Test Parameter Definitions for the specified Project. Cardinality: targets the full collection or a batch. For a single item by ID, use deleteProjectTestParameterDefinition instead. Effect: irreversible — data removed or overwritten by this call cannot be recovered through the API. Tip: set dry_run: true first to validate the arguments and preview the exact request without sending it to Polarion. The executor returns this preview as normal text, and as structured content when the tool declares an output schema.

Input 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. If the ID is unknown, ask the user; getProjects lists IDs only with global read access.
requestBodyYesThe Test Parameter Definition(s) body.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.4.4
    • changedInput schema / properties / projectId / description
      Previous 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."New value: +"The Polarion project ID (its URL segment, e.g. `myproject`), case-sensitive. Required to scope the request to one project. If the ID is unknown, ask the user; getProjects lists IDs only with global read access."
  2. Changed2 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."
  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

A4.5/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true and idempotentHint=true; the description adds real value on top by spelling out that the effect is irreversible and unrecoverable through the API. It also describes what dry_run actually returns (redacted Authorization header, binary summarized by byte length, text vs structured output). It does not cover permission requirements or partial-failure behavior for a batch, which keeps it below a 5.

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?

Front-loaded with purpose, then cardinality, alternative, effect, and tip in a logical order. Slightly verbose in the final sentence about preview output, but every sentence carries usable information.

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?

Given a mutation tool with no output schema, the description covers the destructive semantics, the sibling alternative, and the dry_run safety path. Remaining gaps are edge-case behaviors (what happens to nonexistent or referenced IDs, batch atomicity) rather than anything required to call it correctly.

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 coverage is 100%, so the baseline is 3 and the schema already documents projectId, requestBody, and dry_run thoroughly. The description adds meaning beyond the schema by explaining the executor's preview return format for dry_run rather than just restating the flag.

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 (Deletes), resource (Test Parameter Definitions), scope (specified Project), and cardinality (full collection or batch). It explicitly distinguishes itself from the singular sibling `deleteProjectTestParameterDefinition`, so an agent can disambiguate without opening the schema.

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?

Names the alternative and the exact condition that selects it ('For a single item by ID, use `deleteProjectTestParameterDefinition` instead') and recommends a dry_run-first workflow. It leaves little to inference about when this tool is the right choice.

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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