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Polarion MCP Server

by phillipboesger
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TypeScript
Hybrid

deleteApproval

DestructiveIdempotent

Delete a single Work Item Approval in Polarion by project, work item, and user ID. Preview the exact API request with dry_run before making the irreversible change.

Instructions

Deletes the specified Work Item Approval. Cardinality: targets a single item by ID. For the full collection or a batch, use deleteApprovals 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
userIdYesThe User ID.
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.
workItemIdYesThe Work Item's ID within its project (e.g. `WI-123`), not the combined `project/id` path used in some link payloads.

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 / workItemId / description
      Previous value: -"The Work Item ID."New value: +"The Work Item's ID within its project (e.g. `WI-123`), not the combined `project/id` path used in some link payloads."
  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

A4.7/5.0
Behavior5/5

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

Annotations already indicate destructive and idempotent behavior, and the description adds valuable context beyond them: the operation is irreversible and cannot be recovered through the API. It also explains the dry_run preview behavior, including how to interpret the error-flagged preview result. No contradiction with annotations exists.

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 compact and front-loaded: the primary action, cardinality, alternative tool, and irreversible effect appear early. The dry_run tip is useful and earns its place. No sentence is redundant with the schema or annotations.

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?

For a simple single-item delete with no output schema, the description covers the essential operational context: scope, sibling routing, irreversibility, and a dry-run safety mechanism. Together with the fully documented schema and annotations, it gives an agent everything needed to invoke the tool correctly.

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 has 100% parameter description coverage, including specifics like case-sensitive projectId and workItemId format. The description itself does not add parameter-level detail beyond mentioning the single-item cardinality, so the baseline of 3 applies: the schema does the heavy lifting.

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: 'Deletes the specified Work Item Approval.' It immediately distinguishes itself from deleteApprovals by stating cardinality: 'targets a single item by ID.' An agent can clearly understand what this tool does and how it differs from the batch 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 explicitly gives the when-not-to-use guidance: 'For the full collection or a batch, use deleteApprovals instead.' It also recommends a safe invocation pattern with dry_run first. This gives the agent clear decision criteria for selecting this tool over its sibling.

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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