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 covered. The description adds account-scoping ('available to this account'), which is genuine context beyond annotations, but it says nothing about pagination, result ordering, or response size for a listing call.

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 tight sentences with the purpose front-loaded and the filter semantics following. No padding, though the second sentence largely re-states the kind enum values rather than earning its place with new information.

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?

For a read-only list tool with no output schema, the description covers scope and filter values but omits return shape (e.g., what each record contains beyond the fields enum), pagination, and result limits. An agent can call it correctly but cannot anticipate the response.

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 50%: the 'fields' parameter is documented in the schema, while 'kind' is only enumerated there. The description restates the kind enum values and adds the verb 'filters', clarifying they act as filter values, but it does not explain the fields parameter or the interaction between the two. Marginal added value over the structured data.

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 (List) and resource (marketplace templates), and enumerates the categories it covers (personas, AI agent tools, AI agents, WhatsApp Flows), which implicitly shows it spans more than the narrower list_whatsapp_flows or list_agent_bots siblings. It stops short of naming those siblings directly, so the differentiation is inferred rather than stated.

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 phrase 'available to this account' gives useful scope context, and the mention of 'kind' implies the tool is the browsing/discovery entry point. However, there is no explicit when-to-use vs. when-to-use-an-alternative guidance (e.g., list_whatsapp_flows for just flows), so selection is left to inference.

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