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Polarion MCP Server

Polarion MCP Server

by phillipboesger
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

moveWorkItemsToDocument

Move a batch of existing Work Items into a target LiveDoc by specifying the document and Work Item IDs, with dry-run validation to preview the request before sending.

Instructions

Moves a batch of existing Work Items from the project tracker into a LiveDoc. Provide the target document and the Work Item IDs in the request body; all items must be accessible and the document writable. Use moveToDocument for a single item or moveFromDocument to remove one from a document. Effect: triggers a server-side action rather than a plain resource creation — whether repeating it is safe, a no-op, or rejected depends on the specific action; treat it as not guaranteed idempotent. 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.
requestBodyYesMoving Work Items to Document parameters.

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. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnly=false, openWorld=true, idempotent=false, and destructive=false. The description adds useful context beyond those hints: access/writability prerequisites, the server-side action nature, and the dry-run preview behavior including redaction and binary summarization. It loses a point only for the confusing final sentence about structured content 'when the tool declares an output schema,' despite no output schema being declared.

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 front-loaded with purpose, alternatives, and safety guidance in a few dense sentences. The closing sentence about structured content adds little for a tool with no output schema, keeping it from being maximally concise.

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?

For a mutation tool with nested request bodies and no output schema, the description covers prerequisites, sibling alternatives, idempotency uncertainty, and dry-run preview. It is nearly complete; the only distracting element is the unnecessary mention of output-schema-dependent structured content.

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%, so the schema already documents all three parameters, including the dry_run behavior and projectId format. The description adds only general placement guidance ('Provide the target document and the Work Item IDs in the request body'), which largely restates 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 names a specific verb and resource ('Moves a batch of existing Work Items ... into a LiveDoc'), states batch scope, and distinguishes itself from the single-item sibling (`moveToDocument`). An agent can identify the exact operation without inspecting 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?

It gives explicit alternatives: use `moveToDocument` for a single item or `moveFromDocument` to remove one from a document. It also states prerequisites ('all items must be accessible and the document writable') and recommends a dry-run first, so the conditions for safe use are clear.

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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