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

Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior, so the safety burden is covered. The description adds meaningful context by naming the data provenance ('City permit zone records and ordinance hours') and enumerating the three things returned, which matters since there is no output schema.

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?

Three sentences, all front-loaded: purpose first, then usage trigger, then scope and provenance. No redundancy and every sentence carries information.

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 single-parameter read tool with no output schema, the description is nearly complete: it says what is returned and where data comes from. It stops short of describing behavior for non-Chicago or unparseable addresses, which would fully close the loop.

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% and the single address parameter is fully documented in the schema with a format example. The description adds no additional guidance on address formatting or invalid-input handling, so baseline 3 applies.

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?

States a specific verb and resource ('Check whether a Chicago street address is in a residential permit parking zone') plus the exact outputs (zone, hours). This clearly separates it from siblings like street_cleaning_schedule and ticket_win_rate, which address different parking concerns.

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?

Gives a concrete triggering situation ('if they can park on a block without a permit, or what zone their address is in') and a hard scope boundary ('Chicago only'). It does not explicitly name sibling tools to redirect to when the question is about street cleaning or tickets, so it falls short of a 5.

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