get_smart_reply_suggestions

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

No annotations are provided, so the description must fully convey behavioral traits. It fails to disclose that the tool is read-only, does not modify data, or any rate limits or authorization needs. The description only states it generates suggestions, leaving significant behavioral gaps.

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 description is a single concise sentence in Spanish, front-loaded with a pseudo-title. It is not verbose, but it lacks structure like bullet points or examples. Still, it efficiently conveys the core function.

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?

Given the tool has 8 parameters and no output schema or annotations, the description is too brief. It does not explain parameter interactions (e.g., days vs hours), output format, or that it is read-only. The schema descriptions cover parameter meanings, but the description omits important context.

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?

Input schema coverage is 100% with each parameter described in the schema. The description adds the explicit number '3 suggestions' and implies the tool uses the conversation context, which is not in the schema. This adds value beyond the schema, warranting a 4.

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 clearly states it generates 3 reply suggestions based on the current conversation, with a specific verb ('genera') and resource ('sugerencias de respuesta'). It distinguishes from other AI tools like get_ai_summary or get_sentiment_analysis. However, the phrase 'conversacion actual [query]' is ambiguous about how the conversation context is obtained, slightly reducing clarity.

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 is provided on when to use this tool versus alternatives, such as other AI generation tools (e.g., generate_email_draft, get_ai_summary). There is no mention of prerequisites, when not to use it, or comparisons to siblings.

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