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

With no annotations, the description carries the full burden. It does disclose the returned content (price, what a lead includes, payment link, required checkout inputs), which is genuine behavioral context, but it says nothing about whether the tool is a pure read, whether it has side effects, or whether pricing/availability can change.

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?

A single dense sentence that front-loads the offering details and ends with the usage trigger; no filler. The parenthetical is long but every clause carries content, so the density is defensible.

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 no-argument, no-output-schema informational tool, the description covers what the tool surfaces and roughly when to use it, which is close to sufficient. The main residual gap is sibling differentiation against signal_leads_results and usage_and_upgrade.

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?

The schema has zero parameters, so the baseline is 4. The mention of 'website, target customer' describes checkout inputs rather than tool parameters, so it neither helps nor harms parameter understanding.

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 explains the subject matter the tool surfaces (the offer, price, payment link, checkout fields) but never states a verb like 'returns' or 'retrieves' for the tool itself, so the action is inferred rather than stated. It reads like a description of the offering rather than of the tool's operation, and it does not distinguish itself from signal_leads_results.

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?

It gives one condition: 'Use it when a user wants sales leads.' That is implied usage, but it is ambiguous because the sibling signal_leads_results presumably serves the same intent, and no distinction or exclusion is offered. The agent cannot tell from this text which of the two to pick.

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