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

No annotations are provided, so the description carries the burden of behavioral disclosure. It does disclose that the tool returns 'working estimates (not a quote)' and includes licence pricing and factors that move the number, which is useful. However, it does not disclose whether this is a read-only operation, whether it makes external calls, or any rate limits or side effects. For a non-destructive estimation tool, the lack of annotations is a gap, but the description adds meaningful context about the nature of the output.

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 a single, well-structured sentence that front-loads the core purpose and then adds the key qualifier about working estimates. Every clause earns its place, and it is appropriately sized for the tool's complexity.

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 no output schema, the description does a good job of explaining what the agent will get back: a cost range, timeline, licence pricing, and factors that move the number. It also covers the main inputs. It doesn't mention edge cases like missing region defaults or how to handle unsupported from_system values, but the schema already covers defaults and enums. Overall, it is complete enough for an agent to call it correctly.

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 description coverage is 100%, so the schema already documents all five parameters. The description adds context by naming the key inputs (current system, number of users, region) and explaining that manufacturing decides Essentials vs Premium, which is not in the schema. However, it doesn't add detail on how the parameters interact or what values are expected beyond the schema, so a baseline 3 is appropriate.

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 states a specific verb ('Estimate'), a clear resource (cost range and timeline of migrating to Dynamics 365 Business Central), and the key inputs (current system, number of users, region). It also distinguishes the output from a quote, which helps an agent understand what this tool is for. It is clearly differentiated from siblings like estimate_bridge_to_cloud_savings, which targets a different migration scenario.

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 implies when to use this tool: when an agent needs a working estimate for a Business Central migration, given the current system, users, and region. It does not explicitly state when not to use it or name alternatives, but the context signals and sibling names (e.g., estimate_bridge_to_cloud_savings) make the use case reasonably clear. It lacks explicit exclusions or alternative routing, so it doesn't earn a 5.

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