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phillipboesger

Polarion MCP Server

getTestStepResultAttachment

Return a specific attachment from a test step result in a Polarion test record. Provide the project, test run, test case, iteration, step index, and attachment IDs.

Instructions

Returns the specified Test Step Result Attachment for the specified Test Record.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesThe Project ID.
testRunIdYesThe Test Run ID.
testCaseProjectIdYesThe Testcase Project ID.
testCaseIdYesThe Testcase ID.
iterationYesThe Iteration Number.
testStepIndexYesThe Test Step index.
attachmentIdYesThe Attachment ID.
fieldsNoFilter returned resource fields. See <a href="https://docs.sw.siemens.com/en-US/doc/230235217/PL20231017526942799.polarion_help_sc.xid2134849/xid2134871" target="_blank">REST API User Guide</a> for details.
includeNoInclude related entities. See <a href="https://docs.sw.siemens.com/en-US/doc/230235217/PL20231017526942799.polarion_help_sc.xid2134849/xid2134871" target="_blank">REST API User Guide</a> for details.
revisionNoThe revision ID.
Behavior2/5

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It only states 'Returns' without mentioning read-only nature, authentication requirements, error behavior (e.g., if attachment not found), or rate limits. This is insufficient for safe and correct invocation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise but arguably under-specified. It lacks structure or front-loaded key details. It is adequate but could be improved with more context without becoming verbose.

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

Completeness2/5

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

Given the tool has 10 parameters (7 required), no output schema, and no annotations, the description should provide more contextual completeness. It does not explain parameter relationships, expected return format, or behavior when inputs are invalid. This is a significant gap for a data retrieval tool.

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%, with each parameter described. The tool description does not add additional meaning beyond the combined schema descriptions. Baseline of 3 applies, as the description does not enhance parameter understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Returns') and the specific resource ('the specified Test Step Result Attachment'), distinguishing it from sibling tools like getTestStepResultAttachments and getTestStepResultAttachmentContent. However, it could be more precise about the nesting context (e.g., within a test record, test run, etc.), but the parameter list clarifies the hierarchy.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. Among many sibling tools (delete, get content, get all), there is no explicit when/when-not advice or context for selection.

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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