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generate_xpp_template

Read-only

WHEN: writing an extension or customization -- generates ready-to-use X++ code. Triggers: 'génère un CoC', 'crée une extension', 'generate extension', 'write a CoC class', 'event handler pour', 'template pour'. Uses REAL metadata from the KB (actual field names, method signatures). 'coc' = Chain of Command class, 'table_extension' = extend table with fields/methods, 'event_handler' = pre/post event handler, 'job' = runnable class, 'find_method' = find/exist pattern. ALWAYS call get_object_details first to verify the object exists.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
methodNameNoOptional: specific method name for CoC or event handler templates
objectNameYesThe base object, e.g. 'SalesTable', 'VendInvoiceJour'
templateTypeYesTemplate type: 'coc', 'table_extension', 'event_handler', 'job', 'find_method'

TDQS

A4.3/5.0
Behavior4/5

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

The annotations only provide readOnlyHint=true, and the description does not contradict that. The description adds useful behavioral context by disclosing the dependency on KB metadata ('REAL metadata from the KB') and the requirement to verify object existence first. It does not cover failure modes or return format, but the added context goes beyond annotations.

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 dense and front-loaded with 'WHEN', and nearly every clause earns its place by providing triggers, template definitions, or a prerequisite. The run-on structure with long lists slightly reduces readability, but it remains appropriately sized.

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?

For a 3-parameter tool with no output schema and many siblings, the description provides enough to understand when to invoke it, what inputs to pass, and what to do first (calling get_object_details). It omits the expected output shape and edge-case behavior, but covers the essential selection and invocation requirements.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description adds meaning by defining each templateType value ('coc' = Chain of Command, etc.) and clarifying that methodName is for CoC or event handler templates. This extra semantic detail justifies a 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('generates') and resource ('ready-to-use X++ code') for extensions/customizations. It also enumerates supported template types (coc, table_extension, event_handler, job, find_method), which clearly distinguishes it from sibling tools like generate_xpp_form or generate_query.

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 an explicit 'WHEN' clause, concrete trigger phrases, and a mandatory prerequisite to call get_object_details first. However, it does not explicitly name sibling tools as alternatives or state when not to use this tool, so it doesn't fully meet the 'when-not/alternatives' bar.

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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TDQS

A4.1/5.0
Disambiguation4/5

Most tools have distinct purposes and clear triggers, reducing ambiguity. For example, PR-related tools are separated into analysis, listing, commenting, and dependency mapping. However, some overlap exists between find_references, find_extensions, and find_callers, which could confuse an agent without careful descriptions.

Naming Consistency4/5

Tool names follow a consistent snake_case pattern with verb_noun structure within subgroups (e.g., ado_*, find_*, search_*, generate_*). There is no mixing of camelCase or other styles, though the variety of prefixes slightly reduces predictability.

Tool Count3/5

With 38 tools, the server feels slightly over-scoped for its domain. While each tool has a specific function, the number is high compared to typical well-scoped servers (10-15 tools). Some tools like find_references and find_callers could be consolidated.

Completeness4/5

The tool set covers a broad range of D365 F&O development and DevOps tasks, including code search, analysis, security, performance, upgrades, and work item management. Minor gaps exist, such as the absence of direct object modification or batch job management, but the core workflows are well covered.