compare_confirmed_vs_uninterested

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

No annotations are provided, so the description must fully disclose behavioral traits. It fails to mention whether this is a read-only or destructive operation, any authentication requirements, rate limits, or how the sampling is performed (e.g., random, recent). The description is too vague to inform the agent about the tool's behavior beyond its basic function.

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 extremely concise—a single sentence that directly states the tool's function and output. It is front-loaded with no wasted words, making it easy to parse quickly.

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's complexity (involving sampling and comparison of conversation states), lack of annotations, and 0% schema coverage, the description is insufficient. While an output schema exists, the description doesn't address critical aspects like behavioral traits or parameter meanings, making it incomplete for effective agent use.

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 0%, meaning none of the 4 parameters are documented in the schema. The description adds no information about parameters like 'product_slug', 'client_id', 'confirmed_count', or 'uninterested_count', leaving their purposes and effects completely unspecified. This is inadequate for a tool with multiple 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 clearly states the action ('Pull sample confirmed and uninterested conversations') and the output format ('return side-by-side message snippets'), which is specific and actionable. However, it doesn't explicitly differentiate this tool from sibling tools like 'get_conversation_by_id' or 'crm_customers_by_state', which might also involve conversation data.

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 description provides no guidance on when to use this tool versus alternatives, such as 'get_conversation_by_id' for detailed single conversations or 'crm_state_stats' for aggregated data. It lacks context about prerequisites or typical use cases, leaving the agent to infer usage.

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