toggle_auto_sentiment_analysis

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

No annotations are provided, so the description must carry full burden. It mentions mutation and effect but does not disclose side effects, permissions, or potential impacts. The presence of an unexplained parameter (auto_describe_images) further reduces transparency.

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 relatively concise with two sentences and a tag, front-loading the purpose. Some redundancy exists (Activar/desactivar and Activa o desactiva), but overall efficient.

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?

The description explains the core toggle but fails to clarify the role of the auto_describe_images parameter, leaving a gap. For a simple mutation, more completeness is expected regarding scope and side effects.

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 description coverage is 100%, with both parameters having descriptions. However, the tool description adds no additional semantic value beyond the schema. The optional parameter's purpose is unclear from the description.

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 the tool toggles automatic sentiment analysis for WhatsApp conversations, specifying the effect (IA analyzes sentiment and shows indicators). It distinguishes from sibling toggles like toggle_auto_describe_images by focusing on sentiment.

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 explicit guidance on when to use this tool vs. alternatives. The description only explains what it does, not context or prerequisites for use.

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