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dachienit

ABAP-ADT-API MCP-Server

by dachienit

tracesDbAccess

Retrieve database access information from ABAP system traces to analyze query performance and identify optimization opportunities.

Instructions

Retrieves database access information for a trace.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe ID of the trace.
withSystemEventsNoWhether to include system events.
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves information, implying a read-only operation, but does not specify permissions required, rate limits, error handling, or the format of the returned data. This leaves significant gaps in understanding how the tool behaves in practice.

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 a single, clear sentence that directly states the tool's purpose without unnecessary words or fluff. It is front-loaded and efficiently communicates the core functionality, making it easy to parse and understand quickly.

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 retrieves data. It does not explain what 'database access information' entails, the structure of the output, or any behavioral aspects like pagination or errors. This leaves the agent with insufficient context to use the tool effectively beyond basic parameter input.

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% description coverage, with clear documentation for both parameters ('id' and 'withSystemEvents'). The description does not add any additional meaning beyond what the schema provides, such as examples or contextual usage of parameters, so it meets the baseline for adequate but not enhanced parameter semantics.

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 ('Retrieves') and resource ('database access information for a trace'), making the purpose specific and understandable. However, it does not explicitly differentiate from sibling tools like 'tracesList' or 'tracesStatements', which might also retrieve trace-related information but for different aspects.

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?

The description provides no guidance on when to use this tool versus alternatives, such as other trace-related tools in the sibling list. There is no mention of prerequisites, exclusions, or specific contexts for usage, leaving the agent to infer based on the name alone.

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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