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Hollway

mcp-abap-abap-adt-api

by Hollway

tracesListRequests

Read-only

Retrieve recorded trace requests for a user to analyze ABAP workload units and identify entry points before examining individual statements.

Instructions

The recorded requests of a trace - one per unit of work measured. The entry point into a trace before its statements.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userNoThe user.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds useful context about the data shape ('one per unit of work measured') and its position in the trace exploration flow, but does not mention pagination, ordering, or other behavioral traits. Given the annotations, this is adequate though minimal.

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 concise at two short sentences, but the first is a grammatical fragment ('The recorded requests of a trace - one per unit of work measured'), and the dash construction is awkward. It is not redundant, but the lack of a clear complete sentence hampers readability.

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

Completeness3/5

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

For a read-only tool with one optional parameter and no output schema, the description gives a high-level return concept but leaves the 'user' parameter ambiguous and does not describe the structure of each request. Given the large set of sibling trace tools, an agent could still be unsure how to invoke this meaningfully without further context.

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 only parameter 'user' is described in the schema as 'The user,' which is unhelpful. The tool description does not clarify whether 'user' filters recorded requests, identifies the trace owner, or is unrelated to the trace. Since schema description coverage is 100%, the baseline is 3, but the description adds no semantic value beyond the schema.

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 identifies the resource ('recorded requests of a trace') and adds a distinguishing detail ('one per unit of work measured' and 'entry point ... before its statements') that separates it from tracesStatements. However, it lacks an explicit verb like 'lists' or 'returns,' so the operation is implied by the tool name rather than stated.

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

Usage Guidelines3/5

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

The phrase 'The entry point into a trace before its statements' implies a navigational sequence: call this tool first to access request-level data before descending into statement-level detail. It does not explicitly name alternatives or state when not to use it, but there is enough contextual guidance for a trace-analysis workflow.

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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