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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint=false, so the safety profile is covered. The description adds only a topic scoping list and says nothing about what the answer looks like (single blob vs. per-question entries) or how the language affects output, so behavioral value beyond annotations is minimal.

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 and the subject front-loaded. It is a fragment rather than a complete statement, but nothing is wasted.

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?

This is a simple zero-required-param read tool with rich annotations and a fully documented schema, so little is strictly required. Still, the description omits what the response contains and how language selection behaves, leaving a modest but real gap for an agent deciding whether to call it.

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 the single enum parameter already documents itself as 'Language of the answer (default en)'. The description never mentions the language option, but per the baseline rule the schema fully carries parameter semantics, so 3 is appropriate.

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 (FAQ about GetAgents) and enumerates covered topics, but it never states an action verb such as 'retrieve' or 'answer', and it reads as a subject list rather than a description of what the tool returns. The topic list (ChatGPT ads, pricing, security) partially distinguishes it from siblings like get_chatgpt_ads_info and get_company_info, though the ChatGPT-ads overlap is left unaddressed.

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?

No guidance on when to call this versus get_company_info, get_chatgpt_ads_info, or get_demo_booking_link, even though the topics listed overlap with those siblings. The agent must infer routing purely from the topic keywords.

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