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Hollway

mcp-abap-abap-adt-api

by Hollway

atcUsers

Read-only

Find ATC exemption approvers by searching user IDs or names with a case-insensitive filter, avoiding the need to browse the entire address book.

Instructions

The users ATC knows for exemption approval - who can be named as an approver. Search with filter rather than reading the whole address book of the system.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoCap on the users reported, default 50. The counts are always for everything found.
filterNoCase-insensitive substring, matched against both the user id and the name. Without it the whole list comes back, which on a real system is several hundred entries.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description does not need to restate the safety profile. It adds context that these are the known exemption approvers and that unfiltered searches can be large, but it does not disclose additional response behavior or auth requirements; the annotations carry part of that burden.

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 two sentences, purpose-first, and contains no schema repetition or filler. The added advisory about using a filter earns its place, making this well-structured and easy to parse.

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

Completeness4/5

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

This is a simple read-only tool with two optional, fully documented parameters and read-only annotations, so the description does not need extensive extra context. The approver-related purpose and the filter advice are enough for an agent to invoke it correctly, although a true output schema is also absent.

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, explaining limit's default/count behavior and filter's case-insensitive substring matching over user id and name. The description adds only a general reason to filter, so it aligns with the baseline rather than meaningfully enriching the 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 first sentence identifies the tool as the users ATC knows for exemption approval, specifically who can be named as an approver. This is a clear resource-and-purpose match, but it does not explicitly differentiate it from siblings such as systemUsers, so it stops short of a 5.

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

Usage Guidelines4/5

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

The description gives a clear use context, exemption approval, and explicitly advises searching with a filter rather than pulling back the whole address book. This is concrete enough for an agent to know when and how to use it, though it does not name alternative tools or exclusion criteria.

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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