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

Annotations already establish readOnlyHint=true and openWorldHint=false, so the bar is lower. The description still adds useful context: the content is static reference material, it is explicitly free, and it includes plan limits and usage rules — information an agent would otherwise have to discover by calling. It does not mention caching, versioning, or size of the returned payload.

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 compact sentence with no filler; the enumerated coverage list is the payload and each item is informative. Formatting as a fragment rather than a full sentence is the only weakness.

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?

There is no output schema, so the description carries the burden of saying what comes back — and it does, enumerating the five content categories. Combined with the zero-parameter schema and safe-read annotations, an agent has enough to invoke it correctly; only the response shape (e.g., mapping vs. list) is left unstated.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. The description correctly implies no filtering or input is required to retrieve the reference material.

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?

The description names the resource precisely: meanings for crime, summary, record type and license classes, plus plan limits and usage rules. It is clearly a static glossary/reference lookup, which distinguishes it from the data-query siblings like crime_index and incident_stats. It loses a point only because it is a noun phrase with no explicit verb ('returns'/'looks up').

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 is only implied: an agent can infer this is the tool to call when it needs to interpret codes returned by other tools. There is no explicit 'call this before/after X' or statement of when another sibling is preferable. 'The usage rules' refers to API terms, not to tool selection, so it does not count as guidance.

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