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

No annotations are provided, so the description carries the full burden. It does disclose the data sources compared and the classes of discrepancies produced, but says nothing about whether the operation is read-only, what permissions or jurisdiction coverage it requires, how large a result set it returns, or what happens when the optional roll fields are omitted.

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?

A single dense sentence with the action and the comparison front-loaded, then the three finding types. Efficient, though the statutory citations and jargon (Exhibit N, nominal consideration) add bulk that only specialists will parse quickly.

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?

With no output schema and no annotations, the description must convey what the tool yields, and it does so by naming the three audit findings it surfaces, plus the legal hook for the Exhibit N case. Gaps remain on return shape, volume, and permissions, but the core is covered for a 3-parameter read-style audit.

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 explains parcel_id as subject parcel/ID-or-address and the two optional current roll fields. The description adds conceptual meaning by framing those roll values as the comparison baseline for drift detection, though it never names the parameters explicitly.

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?

Specific verb+resource: auditing recent deeds and real estate transfer tax filings against county tax rolls, with three named finding types (deed backlogs, mailing address drift, nominal consideration transfers). Scope is concrete enough to separate it from generic siblings like audit_property_tax, but no sibling is named or excluded explicitly.

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?

Usage context is implied by the described inputs and findings (use when verifying deed/transfer records against the roll), and the Exhibit N / T.C.A. citations hint at an appeal-evidence scenario. However, there is no explicit when-to-use, no prerequisites, and no routing against the many sibling audit_* tools an agent must choose between.

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