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

With no annotations present, the description carries the full burden, and it does a good job disclosing key behavioral traits: no payment/account needed, 24-hour trial duration, one active trial per caller, no webhooks, and free. It stops short of describing what happens when the trial expires or how to retrieve trial alerts, but the most important constraints are transparent.

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 concise and front-loaded with the core purpose and key differentiator. The phrase 'Free — no payment required' is slightly redundant with the earlier 'no payment,' but overall every sentence contributes meaningful constraints and guidance.

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 covers the core workflow and limitations, but with 14 parameters and no output schema, it is not fully complete. It does not explain what the tool returns after creating a trial watch or how the agent should retrieve the alerts, despite the sibling poll_trial tool existing for that purpose. The reference to create_watch helps, but the missing next-step workflow leaves a gap.

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 64%, and the description adds value by pointing to create_watch for shared parameter semantics and listing the five types. However, it does not explain the undocumented parameters (e.g., body, method, expected_scheme, expected_network, expected_amount_atomic), nor does it clarify type-specific parameter applicability beyond what the schema already states.

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 identifies the action ('Create a free trial watch') and differentiates it from the paid sibling create_watch by emphasizing 'no payment, no wallet, no account' and 'trial runs for 24h.' It also explicitly lists the supported watch types, so an agent can understand exactly what the tool does without confusion.

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 gives clear usage context: 'Use this first to see what the alerts look like before paying.' It also states important limitations ('one at a time per caller' and 'cannot use webhooks'), which helps an agent decide when this tool is appropriate. However, it does not explicitly state when to use create_watch instead, relying on implication rather than a direct when-not-to-use condition.

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