Expert review and owner ratings

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

Annotations already cover read-only/idempotent/open-world, and the description adds genuinely new context: review text is Persian and site-authored, and a brand-only call returns the maker profile plus its models. It does not explain how text_chars truncation affects output structure, which is a minor gap given no output schema.

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-loaded with purpose, then usage, then sourcing rules in three compact chunks; almost no filler. The mid-sentence line breaks are slightly awkward but do not obscure meaning.

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 names the sections returned and the brand-only fallback behavior. Missing only output shaping details such as truncation semantics and comment ordering, which matters for a tool with a text_chars knob.

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 baseline is 3. The description does add sourcing guidance (slugs from hm_prices, Iranian cars under saipa/kiacerato), but it slightly conflicts with the schema note that brand comes from hm_brands, and it says nothing about the comments/text_chars knobs beyond what the schema states.

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 Hamrah Mechanic's expert review of a model') and enumerates contents (pros, cons, engine and safety notes, owner scores and comments). It also discloses the brand-only variant, so an agent can tell exactly what this returns versus siblings like hm_prices or hm_car.

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 use cases ('is the car good', prose specs and fuel use, owner sentiment) and a prerequisite workflow for obtaining slugs from hm_prices. It lacks an explicit 'do not use for numeric price lookup, use hm_prices' exclusion, but the data-source routing is clear.

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