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Polarion MCP Server

getTestStepResultAttachmentContent

Read-only

Fetch the raw file content of a Test Step Result attachment to read plain-text files like TXT, CSV, XML, JSON, or HTML. Use it when you need the actual bytes, not metadata.

Instructions

Downloads the raw file content of one Test Step Result attachment. The file body is returned as UTF-8 text: plain-text files (TXT, CSV, XML, JSON, HTML) are readable, but binary files (images, PDF, Office) arrive garbled. Use this only when you need the file's bytes; for its metadata (fileName, contentType, size, author) call getTestStepResultAttachment, and to discover attachment IDs call getTestStepResultAttachments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
revisionNoA specific repository revision (e.g. `1234`) to read the resource as it existed at that revision instead of the current HEAD. Omit to use the latest revision.
iterationYesThe iteration number identifying which repeated occurrence of this item is being addressed (e.g. which run of a test parameter).
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.
testRunIdYesThe Test Run's ID within its project.
testCaseIdYesThe Test Case's ID being referenced.
attachmentIdYesThe attachment's ID, as returned by the corresponding list- or get-attachments call for this resource.
testStepIndexYesThe Test Step index.
testCaseProjectIdYesThe project ID that owns the referenced Test Case — may differ from the project in the request path when the test case is shared from another project.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed7 schema fields changedv1.2.0
    • changedInput schema / properties / attachmentId / description
      Previous value: -"The Attachment ID."New value: +"The attachment's ID, as returned by the corresponding list- or get-attachments call for this resource."
    • changedInput schema / properties / iteration / description
      Previous value: -"The Iteration Number."New value: +"The iteration number identifying which repeated occurrence of this item is being addressed (e.g. which run of a test parameter)."
    • 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 / revision / description
      Previous value: -"The revision ID."New value: +"A specific repository revision (e.g. `1234`) to read the resource as it existed at that revision instead of the current HEAD. Omit to use the latest revision."
    • changedInput schema / properties / testCaseId / description
      Previous value: -"The Testcase ID."New value: +"The Test Case's ID being referenced."
    • changedInput schema / properties / testCaseProjectId / description
      Previous value: -"The Testcase Project ID."New value: +"The project ID that owns the referenced Test Case — may differ from the project in the request path when the test case is shared from another project."
    • changedInput schema / properties / testRunId / description
      Previous value: -"The Test Run ID."New value: +"The Test Run's ID within its project."
  2. First observedv1.0.0

TDQS

A4.6/5.0
Behavior5/5

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

Beyond the readOnlyHint annotation, the description discloses the output behavior: content is returned as UTF-8 text, plain-text files are readable, and binary files arrive garbled. This is critical for the agent to set expectations and decide whether to call this tool. No contradiction with annotations.

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 two sentences, front-loaded with the core purpose, followed by behavioral detail and routing. Every sentence earns its place with no redundancy.

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?

Given the 8-parameter schema (fully documented) and the description covering output format and alternative tools, the definition is nearly complete. It could optionally mention error conditions or size limits, but those are not essential for selection and 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 coverage is 100%, so the baseline is 3. The description does not add parameter-level meaning beyond what the schema already provides, but that is acceptable because the schema is thorough.

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 states a precise action ('Downloads the raw file content of one Test Step Result attachment') and distinguishes it from the metadata and list siblings by explicitly naming them. This leaves no ambiguity about which resource is acted on.

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 when-to-use guidance ('Use this only when you need the file's bytes') and names the exact alternatives for metadata and ID discovery, with the sibling tool names. This fully routes the agent to the correct tool.

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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