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

Annotations already mark readOnly/openWorld/non-destructive; the description adds behavioral context by specifying the default source ('longbeach'/DataLB), that every response names its source, and that it returns all datasets with specific fields. No contradiction.

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 with no filler: purpose, usage, and parameter default are each addressed once and front-loaded. Every sentence adds 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 simple read-only catalog tool with one optional parameter and no output schema, the description covers return fields, default source, and relationship to city_records. It doesn't specify response envelope or pagination, but annotations and low complexity keep that from being a critical gap.

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 already documents source with a default example. The description reinforces that source is optional and defaults to 'longbeach', adding minor context (DataLB portal name) but not carrying the parameter documentation 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 ('List') and resource ('public open datasets'/'open data catalog'), enumerates the returned fields, and distinguishes itself from city_records by framing it as the discovery step for dataset ids. This is more than the title alone.

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?

Explicitly instructs 'Call this first to discover which dataset ids city_records accepts,' giving a clear when-to-use. It doesn't enumerate exclusions or alternatives beyond city_records, so it stops 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.