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find_extensions

Read-onlyIdempotent

Find all extension objects (AxClassExtension, AxTableExtension, AxFormExtension, AxEnumExtension), CoC classes ([ExtensionOf]), and event handlers for a base object. Also queries Azure DevOps Code Search in real-time for custom extensions not yet in the KB. ALWAYS call before creating a new extension — avoid parallel customizations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
baseObjectNameYesThe base object name, e.g. 'SalesTable', 'SalesFormLetter', 'VendTable'

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare the tool read-only and idempotent. The description adds meaningful behavioral context by disclosing that it queries Azure DevOps Code Search in real-time for custom extensions not yet in the KB, which signals a live external lookup beyond a local cache.

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?

Three sentences convey the full scope, the real-time search behavior, and the critical usage rule without any filler. The most important directive is front-loaded and emphasized with 'ALWAYS.'

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 read-only search tool with one parameter, the description covers purpose, data sources, scope, and usage context. It lacks an explicit description of the return format, but the absence of an output schema is partially mitigated by the clear 'find all...' phrasing.

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 schema already provides 100% coverage for the single baseObjectName parameter, including concrete examples. The description adds no additional parameter-level detail beyond referring to a 'base object,' so the schema carries the semantic weight.

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 has a specific verb and clear resource: it finds extension objects, CoC classes, and event handlers for a named base object. It is unambiguous about scope, though it does not explicitly differentiate itself from the sibling tool find_event_handlers, which overlaps with part of its functionality.

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 strong, explicit usage directive: 'ALWAYS call before creating a new extension — avoid parallel customizations.' This tells the agent when to use the tool, but it does not mention alternatives or when not to use it, so it stops short of full guidance.

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.