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dachienit

ABAP-ADT-API MCP-Server

by dachienit

fixEdits

Apply code corrections to ABAP objects by implementing fix proposals from analysis tools to resolve issues in development workflows.

Instructions

Applies fix edits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
proposalYes
sourceYes
Behavior1/5

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. 'Applies fix edits' gives no insight into whether this is a read-only or destructive operation, what permissions are required, how it handles errors, or what the expected outcome is. It fails to describe any behavioral traits beyond the minimal implication of applying something.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise with just two words, which could be seen as efficient if it were informative. However, this brevity results in under-specification rather than true conciseness. It's front-loaded but lacks substance, making it structurally minimal yet inadequate for understanding the tool.

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 implied by the tool name and sibling context (e.g., 'fixProposals', 'setObjectSource'), the description is completely inadequate. With no annotations, no output schema, and undocumented parameters, it fails to provide the necessary context for an agent to understand what this tool does, how to use it, or what to expect. It's insufficient for a tool with 2 required parameters in a server with many related editing tools.

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?

The input schema has 2 required parameters ('proposal' and 'source') with 0% description coverage in the schema. The tool description provides no information about what these parameters mean, their expected formats, or how they relate to 'fix edits'. This leaves both parameters completely undocumented, failing to compensate for the schema's lack of descriptions.

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 'Applies fix edits' is a tautology that essentially restates the tool name 'fixEdits' without adding meaningful clarification. It doesn't specify what kind of edits, to what resources, or in what context. While it contains a verb ('applies') and a noun ('fix edits'), the purpose remains vague and indistinguishable from potential sibling tools.

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 no guidance on when to use this tool versus alternatives. There are no explicit or implicit instructions about appropriate contexts, prerequisites, or comparisons with sibling tools like 'fixProposals' or 'setObjectSource'. This leaves the agent with no basis for selecting this tool over others.

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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