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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is fully covered without the description. The description does add useful substance about what the payload contains (query lists and a time series), but says nothing about coverage gaps, data recency, or whether a missing practice/state combination errors or returns empty.

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?

The content is dense and front-loaded, but it is a single sentence that terminates in an ellipsis, indicating it is truncated rather than deliberately brief. What is present earns its place; the missing tail does not.

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?

An output schema exists, so return values need not be spelled out, and the annotations cover the safety contract. Still, for a tool whose main selection risk is confusion with market_profile and compare_markets, the description leaves routing and the lang/state semantics unexplained, and the truncation leaves the bid-band half of the sentence unresolved.

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 67%, with state and practice already documented in the schema and lang carrying an enum plus a default. The description's mention of 'in English and Spanish' implicitly maps to the lang parameter, but it never explains what lang actually changes (query lists and volume only, or bid bands too) and never addresses the state parameter's 'US' aggregate option.

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 a concrete resource and its two data families: monthly Google search volume (with top queries and a month-by-month series) and the Google Ads top-of-page bid band. An agent knows what it will get back. It stops short of distinguishing this from siblings such as market_profile or demand_trend, and the trailing ellipsis suggests the sentence is cut off mid-thought.

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?

There is no statement of when to use this tool versus compare_markets, market_profile, demand_trend, or supply_gap, all of which plausibly overlap with a single-practice market lookup. The description gives no preconditions, no exclusions, and no routing signal, so the agent must infer selection from the tool name alone.

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