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find_similar_implementations

Read-onlyIdempotent

Find D365 objects structurally similar to the one you supply (same kind, similar method set, similar field set). Useful when you need a working reference implementation to copy from.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
maxResultsNoMaximum results (default: 15, max: 30)
objectNameYesObject name to find similar objects for, e.g. 'ALMERSftpConnectionTable', 'SalesTable'
filterAotTypeNoOptional: filter to a specific AOT type, e.g. 'AxTable', 'AxClass'. If not set, uses the same type as the source object.

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint, so the safety profile is covered. The description adds behavioral context beyond that by explaining how similarity is determined (same kind, method set, field set), which shapes an agent's expectations about results. There is no contradiction between the description and annotations.

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?

Two sentences with no filler. The primary action and similarity criteria are front-loaded, and the use case is provided in a compact second sentence. Every clause earns its place.

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

Completeness5/5

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

For a simple read-only search tool with full schema coverage and safety annotations, the description is complete. It explains what the tool finds, how similarity is judged, and when to use it. No output schema is present, but the return semantics ('find objects') are clear enough for invocation.

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?

Schema description coverage is 100%, so the schema already documents objectName, maxResults, and filterAotType adequately. The description adds no parameter-specific semantics beyond referring to 'the one you supply,' so it does not need to compensate. Baseline 3 is appropriate.

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 uses the specific verb 'Find' with a clear resource: D365 objects structurally similar to a supplied object. It further defines what 'structurally similar' means (same kind, similar method set, similar field set), which distinguishes it from siblings like compare_objects or find_related_objects. The utility statement about reference implementations makes the intended purpose unmistakable.

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 provides a clear usage trigger: 'Useful when you need a working reference implementation to copy from.' It conveys when to use the tool but does not explicitly name alternatives or state when not to use it. Most agents can infer the boundary against comparison/similarity tools, but the guidance is not fully explicit.

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.