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mario-andreschak

ABAP-ADT-API MCP-Server

tracesDbAccess

Retrieve database access details from ABAP trace files to analyze SQL queries and system events for performance optimization and debugging.

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 only states the action ('retrieves') without detailing permissions required, rate limits, error handling, or the format of returned data. This is inadequate for a tool with potential complexity in trace analysis.

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 with no wasted words. It is front-loaded with the core action and resource, making it efficient and easy to parse, which is ideal for conciseness.

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 no annotations and no output schema, the description is incomplete. It lacks details on behavioral traits, return values, or error conditions, which are crucial for a tool that retrieves potentially complex database access information. This leaves significant gaps for an AI agent to use it effectively.

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, so parameters 'id' and 'withSystemEvents' are well-documented in the schema. The description adds no additional meaning beyond implying the tool operates on a trace, which is already clear from parameter names. Baseline 3 is appropriate as the schema does the heavy lifting.

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 verb ('retrieves') and resource ('database access information for a trace'), making the purpose unambiguous. However, it does not differentiate from sibling tools like 'tracesHitList' or 'tracesStatements', which also retrieve trace-related data, so it doesn't fully distinguish itself in context.

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. With sibling tools like 'tracesHitList' and 'tracesStatements' available, there is no indication of what specific database access information this tool provides compared to others, leaving usage unclear.

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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