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Polarion MCP Server

by phillipboesger
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TypeScript
Hybrid

deleteCollectionsRelationship

DestructiveIdempotent

Delete a specified relationship from a Polarion collection. Preview the exact request with dry_run to avoid irreversible data loss.

Instructions

Removes the specific Relationship from the Collection. 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.
requestBodyYesThe Relationship body.
collectionIdYesThe Collection ID.
relationshipIdYesThe relationship's name as it appears under `relationships` in the owning resource (e.g. `assignee`, `author`, `watches`, `linkedWorkItems`), not an ID of an individual link entry.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.2.2
    • changedInput schema / properties / relationshipId / description
      Previous value: -"The ID of the specific relationship entry linking the two resources, as returned by the corresponding get-relationships call."New value: +"The relationship's name as it appears under `relationships` in the owning resource (e.g. `assignee`, `author`, `watches`, `linkedWorkItems`), not an ID of an individual link entry."
  2. 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 / relationshipId / description
      Previous value: -"The Relationship ID."New value: +"The ID of the specific relationship entry linking the two resources, as returned by the corresponding get-relationships call."
  3. Added

TDQS

A4.5/5.0
Behavior5/5

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

Beyond the destructiveHint annotation, the description explicitly states that the effect is 'irreversible' and that removed or overwritten data 'cannot be recovered through the API.' It also discloses dry_run preview behavior, including that typed-output previews appear as error-flagged results and the agent should read the text content regardless of that flag.

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?

The description is three sentences with no filler. The primary action is front-loaded, followed by the irreversible warning and the actionable dry_run tip; every sentence contributes necessary information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description, combined with the 100%-documented schema and annotations, fully equips the agent to invoke the tool correctly. It covers the destructive nature, the safe preview workflow, and the error-flag behavior, while the schema covers all parameter semantics and required fields.

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 description coverage is 100%, so the baseline is 3. The description adds value beyond the schema by explaining the dry_run workflow and the error-flag nuance, enriching the meaning of the dry_run parameter. Other parameters rely on the schema, which fully documents them.

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 opens with a specific verb and resource: 'Removes the specific Relationship from the Collection.' This clearly identifies the deletion action and distinguishes it from sibling tools like postCollectionsRelationships, patchCollectionsRelationships, and getCollectionsRelationship.

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 when to use the tool—when a specific relationship must be removed from a collection—and provides the dry_run tip as a safety practice. However, it does not explicitly mention alternatives or exclusions, such as using patchCollectionsRelationships to modify or postCollectionsRelationships to add relationships.

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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