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Read-only

Compare two D365 F&O KB snapshots to produce a changelog (added/removed/modified objects). Use action 'save_baseline' once, then 'compare' between two snapshots.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
path1YesFor 'compare': path to baseline cache file. For 'compare_caches': path to first cache. For 'save_baseline': output path for the baseline file.
actionYesAction: 'compare' (current vs baseline), 'compare_caches' (two cache files), or 'save_baseline' (save current state)
filterModelNoOptional: filter to a specific model name
path2OrLabelNoOptional: For 'compare_caches': path to second cache file. For 'compare'/'save_baseline': label for the baseline.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, and the description is consistent with that. It adds behavioral context beyond the annotation: the tool is stateful in that save_baseline persists a baseline state, and the output is a changelog of three change types. No contradiction with the read-only hint since saving a local cache file does not mutate the observed system.

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 first front-loads purpose and output type, the second conveys the required call sequence. Every clause earns its place.

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 tool with three distinct actions and no output schema, the description covers the primary workflow and main use case, while the schema fully documents the remaining 'compare_caches' action and filterModel parameter. Minor gaps remain (no guidance on when compare_caches is preferable, no changelog format details), but the rich schema compensates.

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% and each parameter description already explains its per-action meaning (e.g., path1 as baseline cache, output path, or first cache). The description adds only sequencing value (save baseline before comparing), not new parameter semantics, so the baseline of 3 applies.

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 ('Compare'), a precise resource ('two D365 F&O KB snapshots'), and a concrete outcome ('changelog with added/removed/modified objects'). This is specific enough to distinguish from the closest sibling 'compare_objects', which operates on objects rather than KB snapshots.

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?

Gives a clear, actionable workflow: 'Use action save_baseline once, then compare between two snapshots.' This tells the agent the required call sequence, though it does not explicitly name alternatives or state when NOT to use this tool (e.g., versus compare_objects or compare_caches).

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.