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

No annotations are supplied, so the description must disclose operational behavior; it explains the modeling context but not whether the tool is read-only, has side effects, requires permissions, or returns only estimates. The legal and timing context is useful but insufficient for full behavioral transparency without 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?

It is a single front-loaded sentence with no filler. Each clause identifies the statute, modeling basis, forecast outcomes, and timing.

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?

The definition gives enough domain framing to understand the forecast, and all input parameters are documented in the schema. However, with no output schema it does not describe the return structure, and with no annotations it leaves operational assumptions and proposed-rate sourcing unclear.

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% with descriptions for all five parameters, so the schema already carries the parameter semantics. The description adds domain context but does not clarify how 'proposed county/city tax rates' are supplied when no such parameter exists, so it does not improve on the baseline.

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?

Names a specific verb ('Model') and a specific domain object ('Truth-in-Taxation revenue-neutral certified tax rates') plus the predicted outcomes ('bill shock and appeal savings'). It is clearly distinct from the sibling audit and lookup tools through its T.C.A. § 67-5-1701 forecasting framing, though it does not explicitly name an alternative tool.

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 phrase 'before tax bills are mailed' gives a clear timing cue for when this forecast is relevant. It does not state when not to use it, prerequisites, or which sibling tools handle adjacent analyses such as reappraisal surge or property tax audits.

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