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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so safety is covered; 'Read-only, instant' largely restates them (the latency note is a small addition). The more useful disclosure is the return-shape sentence (id, jurisdiction, effective date, official-text URL), which goes beyond the annotations.

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?

Purpose and return shape are front-loaded, and the enumeration of regimes, while long, is informative for corpus coverage rather than filler. It is verbose but each clause contributes discoverability.

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 takes on the job of describing returns and does so precisely (fields per entry), plus notes filters and read-only/instant behavior. Only the relationship to sibling lookup/applicable tools is missing.

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%, so both parameters are already documented in the input schema with the same market/jurisdiction wording. The description restates the filters without adding format guidance beyond the schema's examples.

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 ('List every privacy and AI framework LexVibe generates documents against') and even quantifies scope (55 laws, 46 jurisdictions). It does not explicitly distinguish itself from siblings like applicable_frameworks or lookup_framework, but the 'list every' framing makes its enumerative role inferable.

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 notes the two optional filters ('Optionally filter by market pack or by jurisdiction') and states the call is instant, but gives no when-to-use guidance versus lookup_framework (single framework) or applicable_frameworks (which apply to a given entity). Usage is implied rather than directed.

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