track_product

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

With no annotations supplied, the description carries the full behavioral burden. It does disclose an important non-obvious side effect — results are recorded into price history, i.e. this is not a pure read — but it says nothing about supported-store failure modes, invalid-URL handling, rate limits, or whether repeated calls create duplicate history entries.

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 front-loaded sentence that leads with the action and then the extracted fields, with no filler. It could be split slightly to separate the scraping action from the price-history side effect for scannability, but nothing is wasted.

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 tool with no output schema, the description usefully enumerates what comes back (price, discount %, bank offers, availability) and flags the history write. The absence of any guidance on failure cases or duplicate recording keeps it from being fully complete.

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?

There is a single required parameter at 100% schema coverage, and the schema already names the supported stores (Amazon, Flipkart) and describes the direct-URL requirement. The description adds no format, canonicalization, or error examples beyond that, so the baseline of 3 applies.

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 states a specific verb plus resource ('Scrape real-time details from an e-commerce product URL') and enumerates the returned data points (price, discount %, bank offers, availability), so an agent knows exactly what the tool does. It does not name or differentiate itself from close siblings such as compare_prices or get_price_history, which keeps it out of 5 territory.

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?

Usage is implied by the required product URL, but there is no explicit statement of when to prefer this over compare_prices or get_price_history, and no stated preconditions. An agent can infer the use case but must guess at the boundaries with sibling tools.

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