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

Annotations already indicate readOnlyHint, idempotentHint, and destructiveHint, but the description adds substantial behavioral detail beyond them: the result is capped at 60 objects, prioritized Removed > Modified > Added, filtered to only client-touched changes, and returned as a JSON payload containing an 'instructions' field. It also clarifies that the caller must analyze the 'objects' array itself and then call generate_release_note_document to produce the deliverable, which is valuable non-obvious behavior.

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 dense and organized with clear cues like 'WHEN', 'Triggers', and workflow ordering. It is longer than minimal, but nearly every sentence carries operational value: trigger phrases, parameter omission rules, result cap, priority ordering, and next-step routing. A small amount of redundancy exists between the version-role explanation and the parameter descriptions, but overall it earns its length.

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 tool with four optional parameters and no output schema, the description is remarkably complete: it defines when to use it, how to resolve parameter values, what behavior to expect, and what to do with the result. It even tells the agent that the returned payload contains an 'instructions' field specifying the exact schema to produce, which compensates for the lack of an output schema. No critical operational step is left unexplained.

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?

Schema coverage is 100%, so the baseline is 3, and the description goes further by clarifying the ordering semantics of v1 (older) and v2 (newer), the auto-fill behavior from resolve_client_profile, and that customModelIds can be comma-separated to cover multiple client and ISV models. It also explains that businessContext sharpens the opportunity/regression assessment. This is meaningful added guidance, though not exhaustive enough to warrant 5.

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 names a specific verb and resource: preparing an AI-assisted D365 F&O upgrade release-note context for a client. It clearly scopes what the tool does by diffing two indexed versions, cross-referencing custom models, and returning only the touched subset of changes. It also distinguishes itself from nearby siblings by positioning itself as the context-preparation step that feeds generate_release_note_document, and by noting the calling assistant does the reasoning rather than the server.

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 gives explicit when-to-use guidance with trigger phrases like 'release note' and 'regression risk'. It names prerequisites and alternatives directly: call resolve_client_profile first, omit v1/v2/customModelIds if a profile exists, and call list_release_note_inputs to get real values when no profile exists. It also explicitly instructs the agent never to guess parameter values and names the downstream tool to call next.

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