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Polarion MCP Server

deleteProjectEnumeration

DestructiveIdempotent

Deletes a specified enumeration from a single Polarion project. Preview with dry_run to avoid irreversible data loss.

Instructions

Deletes the specified Enumeration from the Project context. Scope: one project (requires a project ID). To act across all projects, use deleteGlobalEnumeration 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.
enumNameYesThe Enumeration Name.
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.
targetTypeYesIdentifies the target resource type this operation applies to (e.g. `workitem`). Use `~` (no quotes) to mean no specific target type.
enumContextYesThe Enumeration context. (Allowed values are '~', 'plans', 'testing' and 'documents'. Use '~' for Work Item or general enumerations.)

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 / targetType / description
      Previous value: -"The Enumeration target type. (Use '~' when there is no specific type for the enumeration.)"New value: +"Identifies the target resource type this operation applies to (e.g. `workitem`). Use `~` (no quotes) to mean no specific target type."
  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?

Annotations already mark destructiveHint=true)Skip, but the description adds 'irreversible 'and clarifies the dry_run behavior, including the error-flagged result on preview. This goes beyond annotations and gives critical behavioral context for a destructive operation.

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 well-structured, starting with the action, then scope, alternative, effect, and tip. It is a bit verbose, especially the last sentence about typed output schemas which may not apply to this tool (no output schema). However, it remains front-loaded and every sentence provides value, making it appropriately sized for the safety-critical nature.

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 the key aspects: the operation, scope, irreversibility, and a safe execution tip. It does not describe return values or error handling, but there is no output schema and parameters are fully documented. The sibling alternative is clearly named. Minor omission: no mention of idempotency despite the idempotentHint, but that's covered by annotations. Overall sufficient for correct invocation.

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% for all 5 parameters, so the schema already fully describes each parameter. The description does not add new parameter-level details, only restates the project scope which is already in the schema. Baseline 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 explicitly states 'Deletes the specified Enumeration from the Project context', giving a clear verb and resource. It further distinguishes itself from deleteGlobalEnumeration by scoping to one project, making the purpose unambiguous and differentiating from a direct 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?

It provides explicit when-to-use guidance: 'Scope: one project (requires a project ID). To act across all projects, use deleteGlobalEnumeration instead.' This tells the agent exactly when to choose this tool over the alternative Mandarin, and the dry_run tip adds practical usage advice.

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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