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mario-andreschak

ABAP-ADT-API MCP-Server

fixProposals

Retrieves code fix suggestions for ABAP development issues by analyzing specific locations in source files to enhance programming workflows.

Instructions

Retrieves fix proposals.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
sourceYes
lineYes
columnYes
Behavior1/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure but fails completely. 'Retrieves' suggests a read-only operation, but there's no information about authentication requirements, rate limits, side effects, error conditions, or what format the fix proposals come in. For a tool with 4 required parameters and no output schema, this leaves the agent with critical knowledge gaps about how the tool behaves.

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 maximally concise at just two words. While this represents severe under-specification rather than ideal conciseness, from a pure structural perspective it contains no wasted words and is front-loaded with the core action. Every word technically serves a purpose, even if that purpose is insufficient.

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

Completeness1/5

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

Given the complexity (4 required parameters), complete lack of annotations, 0% schema description coverage, and no output schema, the description is woefully incomplete. It provides no meaningful context about what the tool does, how to use it, what the parameters mean, or what to expect in return. This leaves the agent unable to effectively select or invoke this tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, meaning none of the 4 required parameters (url, source, line, column) have any documentation in the schema. The description provides zero information about what these parameters mean, their expected formats, or how they relate to retrieving fix proposals. This leaves the agent completely in the dark about how to properly invoke the tool.

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 'Retrieves fix proposals' is a tautology that essentially restates the tool name 'fixProposals' with a generic verb. It doesn't specify what kind of fix proposals, for what system, or what the retrieval actually entails. While it does include a verb ('Retrieves'), it lacks any meaningful differentiation from sibling tools or specificity about the resource being accessed.

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 absolutely no guidance about when to use this tool versus alternatives. It doesn't mention any context, prerequisites, or relationships to sibling tools like 'fixEdits' or 'atcExemptProposal' that might handle related functionality. The agent receives no help in determining appropriate usage scenarios.

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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