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phillipboesger

Polarion MCP Server

deleteLicenseSlots

DestructiveIdempotent

Remove license slot entries from Polarion ALM. Validate the request with a dry run before committing irreversible deletions.

Instructions

Deletes a list of Group license slots. (Not supported by cloud-based Polarion X.). 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
typeIdYesLicense type.
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.
requestBodyYesNo Content

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field 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."
  2. Added

TDQS

A4.1/5.0
Behavior5/5

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

The description provides substantial behavioral context beyond annotations: it states the effect is irreversible, explains the dry_run preview behavior, and details how the preview appears as an error-flagged result. These insights go well beyond the destructiveHint and idempotentHint annotations, giving the agent a clear picture of side effects and safety measures.

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 core action, followed by the platform caveat, irreversibility note, and the dry_run tip. It is efficient in wording, though the sequence could be slightly more organized for scanning. Overall, it earns its place without unnecessary verbosity.

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 tool's purpose, irreversibility, platform compatibility, and a safety tip for previewing requests. Given the tool's moderate complexity (3 parameters, no output schema) and the rich annotations, this is nearly complete. It lacks explicit details on return values or error handling, but those are not required given the absence of an 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?

The input schema already provides detailed descriptions for all parameters (typeId, dry_run, requestBody), achieving 100% coverage. The description adds a practical tip about using dry_run but does not elaborate on parameter meaning beyond the schema, so it stays at the baseline 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 explicitly states the action (deletes), the resource (Group license slots), and specifies it operates on a list, distinguishing it from the singular deleteLicenseSlot. It also notes the platform limitation (not supported by cloud-based Polarion X), leaving no ambiguity about what the tool does.

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

Usage Guidelines3/5

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

The description implies usage for bulk deletion of license slots and provides a safety tip to use dry_run first. However, it does not explicitly contrast with alternatives like deleteLicenseSlot (singular) or explain when to choose one over the other. The guidance is present but implicit rather than explicit.

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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