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

Annotations only cover safety (readOnlyHint=true) and closed-world scope; the description adds real operational context: data is pulled from dealers' and car markets' own websites and refreshed weekly, and each result carries dealer phone/WhatsApp plus a bina.et photo link. It does not discuss result limits or empty-result behavior, keeping it short of a 5.

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?

Front-loads the resource and source in one dense sentence, then use cases, then the exclusion. The field enumeration is long but informative rather than repetitive, and no sentence is pure 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?

With no output schema, the description usefully enumerates what each listing contains (specs, dealer contact, photo link), which is the main completeness need. Gaps remain around result count/ordering defaults, but the core call-and-interpret story is covered.

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 only 33% across 9 parameters, so the description carries some burden, and it does name make, model, year, price and fuel plus an example price threshold. However it ignores limit (default 5, max 8), cheapest_first ordering, condition and the body/fuel enum choices that are only visible in the schema, so it only partially compensates.

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 (live new/used car listings from Addis Ababa dealers on bina.et/cars) and enumerates the data surface: make, model, year, price, mileage, fuel, gearbox, dealer contact, photos. The explicit 'Not for taxi rides' separates it from the ride-hailing siblings.

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?

Gives concrete trigger queries ('used Toyota', 'SUV under 10 million birr', 'electric car price', 'BYD') that map directly onto the filter parameters, plus an explicit exclusion ('Not for taxi rides'). It stops short of naming the sibling tool an agent should call instead for rides, so it is clear context but not full routing.

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