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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds genuinely new behavioral context: prices are in TRY, VAT excluded, static and identical to the public website, and the model must not fabricate alternatives.

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?

Two sentences, front-loaded with the return content and ending on the anti-fabrication constraint. The category list is dense but each item earns its place by defining scope; no 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 zero-required-parameter, read-only lookup with annotations covering safety, the description supplies enough: what comes back, currency, tax treatment, and authority. With no output schema, it could have sketched the response structure slightly more concretely, but nothing critical is missing.

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 enum parameter is self-documented with a default, so the baseline is 3. The description goes further by mapping the enumerated content areas to the enum's service categories (websites, e-commerce, custom software, training), clarifying what each selection yields.

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 — returns Yazılım Koçu's published prices — and enumerates the covered categories (website, e-commerce, custom software, AI training). It does not name a sibling such as quote_website, so the boundary with quoting tools is left implicit.

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: fetch published list prices, and 'never invent other prices' establishes this as the authoritative source. There is no explicit when-to-use/when-not guidance and no routing to quote_website for a bespoke estimate, which an agent would likely need.

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