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

Annotations already declare readOnly, idempotent, and closed-world, so the safety profile is covered; the description usefully adds that results are ranked by parking friction and enriched with lot notes, metered spaces and permit zones. It does not explain how friction is computed or how ties/ranking are ordered, so it adds moderate but not rich behavioral context.

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?

Two sentences, zero waste: the ranking action and geographic scope come first, the returned fields last. Nothing is padded or repeated.

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, the description does the right thing by enumerating the return fields (distance, friction, lot notes, metered spaces, permit zones). It stops short of describing result ordering or how the ranking is derived, which is a minor gap for a ranking tool.

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 lat, lon, limit, category and radius_m are already documented with bounds and defaults; the description only echoes lat/lon. Baseline 3 applies since the schema carries the parameter burden.

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: ranks nearby New Orleans stores by parking difficulty given lat/lon. The 'New Orleans stores' scoping and the friction-ranking concept do distinguish it from siblings like check_parking or airport_parking, but no sibling is named explicitly, leaving some routing ambiguity.

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 usage by naming lat/lon as inputs, but never says when to choose this over check_parking, park_and_ride, or airport_parking, nor states any prerequisite or exclusion. An agent gets no routing guidance among seven sibling tools.

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