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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description adds the usage-based billing estimate ($0.012 default) and the fact that location filtering happens at task-setting time, which is useful value beyond the annotations, but it says nothing about response size, caching, or the openWorld implication.

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 short sentences with the resource stated first, plus an injected pricing block that carries genuinely useful cost information. No redundancy or padding beyond the slightly filler opening clause.

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 an output schema present, return values need no explanation, and a zero-parameter lookup tool does not demand much. However, for an agent choosing among ~30 DataForSEO endpoints, the description never clarifies that this list feeds the 'location' field of post_dataforseo_ai_gemini_llm_scraper_live tasks or how it differs from the languages sibling, leaving a real routing 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?

Parameter count is 0, so the baseline is 4. The mention of country filtering does not map to any input parameter of this call (it applies when setting a task), so the description neither helps nor misleads on parameters.

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 states the resource ('list of locations') for the Gemini LLM scraper, which distinguishes it loosely from the sibling languages tool, but the framing 'You will receive the list of locations by this API call' is passive and largely restates the tool name rather than naming a specific action (retrieve/fetch). It is understandable but not sharp.

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 only usage hint is 'You can filter the list of locations by country when setting a task,' which describes downstream task behavior rather than when to call this tool or how it relates to siblings like get_dataforseo_ai_gemini_llm_scraper_languages. No exclusions, prerequisites, or alternatives are given.

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