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find_references

Read-onlyIdempotent

Full index scan for all usages of an object, method, field, or label ID. Use for impact analysis before changing or deleting an object. EXPENSIVE — O(1M+ chunks). Prefer find_callers when XRef index is loaded (O(1)). Label IDs: automatically searches both @SYS124480 and @SYS:124480 forms. NOT for extensions only — use find_extensions for CoC/event handlers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe object or method name to find references to, e.g. 'SalesTable', 'validateWrite'
maxResultsNoMaximum referencing objects to return (default: 500, max: 2000)
locationsPerObjectNoMaximum number of call sites (methods/fields) to display per referencing object (default: 6, max: 20). Increase to see more usage locations.

TDQS

A4.9/5.0
Behavior5/5

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

The description adds important behavioral context beyond the readOnlyHint and idempotentHint annotations: the operation is EXPENSIVE and performs a full index scan over O(1M+ chunks). It also discloses automatic normalization of label ID forms (`@SYS124480` vs `@SYS:124480`), which is not visible in annotations or schema. No contradiction exists 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?

The description is dense but every sentence earns its place: purpose, use case, cost warning, alternative routing, label behavior, and an exclusion. The most critical facts are front-loaded, and there is no filler or repetition.

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 tool with no output schema, the description provides sufficient context to select and invoke it correctly: what it searches, why to use it, how expensive it is, when to prefer an alternative, and how label IDs are handled. The parameter schema fills in limits and defaults, leaving no critical gap.

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?

The schema already covers all three parameters with detailed descriptions, so the baseline is 3. The description adds value by clarifying that the `name` parameter accepts not only object/method names but also fields and label IDs, and by explaining the dual label ID forms. This goes slightly beyond what the schema alone provides.

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 and resource: a full index scan for all usages of an object, method, field, or label ID. It clearly distinguishes itself from sibling tools by naming find_callers and find_extensions as different alternatives. This leaves no ambiguity about what the tool does.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says when to use this tool (impact analysis before changing or deleting an object) and when not to use it (NOT for extensions only — use find_extensions). It also names the preferred alternative, find_callers, with the condition that the XRef index is loaded. This is excellent routing 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.