get_product_price

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

No annotations are provided, so the description carries the disclosure burden. It clearly states what it fetches (price history, current pricing, product details) and even lists the output fields (current price, all-time lowest/highest, average, product details). It doesn't disclose potential concerns like rate limiting, scraping fragility, network dependency, or whether the short-link resolution happens implicitly, but for a read-only data-fetch tool the disclosure is reasonably adequate.

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 compact — roughly three sentences covering purpose, accepted inputs, and return value. It's appropriately front-loaded with the core purpose. A minor inefficiency: it lists return fields both in prose and implicitly, but this is acceptable. No wasted sentences or filler.

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 single-parameter, no-output-schema tool, this description is quite complete. It specifies all accepted input forms, the exact source (camelcamelcamel.com), and the full set of returned data points (price, extremes, average, details). Given the relative simplicity of the tool (one param, no nested objects, no output schema), the description covers the key decisions an agent needs to make. It could add nuance about data freshness or edge cases, but for this complexity level it's well-rounded.

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%, so the schema already documents the 'input' parameter well. The description adds genuine value by enumerating the four accepted input formats (full URL, short share link, camelcamelcamel URL, bare ASIN with example B08N5WRWNW) — this is a significant enrichment beyond the schema's brief 'Amazon product URL, short link, camelcamelcamel URL, or ASIN' line, providing the agent with concrete usable formats.

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 uses specific verbs and resources ('Get Amazon product price history and current pricing from camelcamelcamel.com') and details exactly what's returned: current price, all-time lowest/highest, average price, and product details. It clearly distinguishes from siblings (resolve_short_link and extract_asin) by focusing on pricing data from camelcamelcamel rather than link resolution or ASIN extraction.

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 enumerates the four accepted input formats (Amazon URL, short share link, camelcamelcamel URL, bare ASIN), which gives clear context on when the tool applies. However, it doesn't explicitly tell the agent when NOT to use it versus the sibling tools (resolve_short_link, extract_asin). The input type list partially distinguishes it from siblings but doesn't name alternatives directly.

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