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mario-andreschak

ABAP-ADT-API MCP-Server

unitTestEvaluation

Evaluate unit test results for ABAP classes to identify issues and ensure code quality within ABAP development workflows.

Instructions

Evaluates unit test results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
clasYesThe class to evaluate.
flagsNoFlags for the unit test evaluation.
Behavior1/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. 'Evaluates unit test results' gives no insight into what the tool actually does behaviorally—whether it analyzes test outcomes, generates reports, returns pass/fail status, or has side effects like logging. It lacks critical details such as output format, error handling, or any operational constraints.

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 extremely concise with just three words, which is efficient and front-loaded. However, this brevity comes at the cost of being under-specified—it lacks necessary detail for a tool with behavioral complexity. While not verbose, it fails to convey essential information.

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 lack of annotations and output schema, the description is incomplete for a tool that presumably processes test results. It doesn't cover what 'evaluation' means, what the output might be (e.g., a report, status code), or any behavioral traits. For a tool with potential complexity in test analysis, this leaves significant gaps in understanding.

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 clear documentation for both parameters ('clas' and 'flags'). The description adds no additional semantic context beyond what the schema provides—it doesn't explain what 'evaluates' entails for these inputs or their interplay. Since the schema does the heavy lifting, the baseline score of 3 is appropriate.

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

Purpose2/5

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

The description 'Evaluates unit test results' is a tautology that essentially restates the tool name 'unitTestEvaluation'. It doesn't specify what 'evaluates' means in this context (analyzing, summarizing, validating?), nor does it distinguish this tool from sibling tools like 'unitTestRun' or 'unitTestOccurrenceMarkers'. The purpose remains vague rather than specific.

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

Usage Guidelines1/5

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

The description provides no guidance on when to use this tool versus alternatives. There's no mention of prerequisites, context (e.g., after running tests), or comparison to related tools like 'unitTestRun'. Without any usage context, an agent cannot determine appropriate scenarios for invocation.

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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