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

The annotations declare readOnlyHint=true and idempotentHint=true, and the description adds valuable behavioral context beyond those: it cross-references every coC target, event handler, extension, and hard-coded reference; it lists specific categories of detected breakage; and it states that it returns a prioritized risk report with fix recommendations. The 'Requires D365_CUSTOM_MODEL_PATH' precondition is also useful context. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is organized front-to-back with WHEN, trigger examples, analysis scope, detection categories, output, and prerequisite. It is long but every clause earns its place; the density is high and the structure makes scanning easy.

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

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

For a complex analysis tool with no input schema and no output schema, the description is remarkably complete: it covers when to use it, what it inspects, what it detects, what it returns, and what it requires. Nothing essential for an agent to decide whether to invoke it is missing.

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

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

The input schema is empty (0 parameters), so the baseline is 4. The description adds the meaningful prerequisite 'Requires D365_CUSTOM_MODEL_PATH,' which supplements the empty schema, though it does not clarify how the path is supplied (param, environment, or context). Still, with no parameters to document, this dimension is well handled.

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

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

The description clearly states the specific verb and resource: 'Analyze upgrade risk for your custom D365 F&O model.' It also distinguishes the tool by tying it to upgrade/update scenarios and by enumerating the types of custom-code constructs it checks (CoC targets, event handlers, extensions, hard-coded references). The 'WHEN' framing plus trigger examples make the purpose unmistakable.

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

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

The description explicitly says when to use the tool: 'upgrading D365 F&O to a new version or applying a Microsoft update,' and provides concrete trigger phrases in English and French. It lacks explicit exclusions or named sibling alternatives, so it stops short of full when-not/however guidance, but the usage context is very clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.