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

No annotations exist, so the description must carry the behavioral load. It implies a safe read ('Get') and enumerates the returned fields, but says nothing about permissions, rate limits, or what happens with an invalid or stale product_id, leaving real gaps for a no-annotation tool.

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?

One sentence with zero filler; the return contents and the lookup key are front-loaded, and the id source appears as a parenthetical example rather than an extra clause.

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 one-parameter read tool with no output schema, naming the returned fields (price, availability, description) fills most of the gap an output schema would cover. Only error/miss behavior remains unspecified, which is minor at this complexity.

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 coverage is 100% and the single parameter already documents the K382-19120 format, so the schema does the heavy lifting. The description adds the useful provenance detail that the id comes from search_products, but no additional format or validation semantics.

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?

States a specific verb and resource ('Get ... one ProfitDeals product') plus exactly what is returned (price, availability, full description) and the key (product_id). This clearly separates it from the sibling search_products, which returns multiple products.

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 tells the agent where the product_id comes from ('from search_products'), effectively routing the agent to the lookup tool first. It stops short of stating exclusions or failure behavior for unknown ids, so it is clear context rather than a full when/when-not rule set.

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