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

The annotations already declare readOnly, idempotent, closed-world and non-destructive, so safety is fully covered. The description adds genuine behavioral value by disclosing the fields returned (duration, capacity, location, price, cohort start date, registration deadline) in the absence of an output schema. It does not state whether prices or cohort dates are live or static, which is the one remaining gap.

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?

A single front-loaded sentence that begins with the return verb and the resource, then enumerates the payload. It is dense but every clause contributes a distinct piece of returned information; only the branded name slightly lengthens the opening.

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 parameters, no output schema and a simple read-only profile, the description carries the return-value burden and does so by listing the data fields and the cohort/deadline detail. Missing only freshness or currency of the pricing and date information, which is minor for a static content tool.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a parameterless tool applies. The description correctly implies a single unfiltered fetch with no arguments.

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 leads with a specific verb and resource ('Return Yazılım Koçu's AI & production training formats') and enumerates the four formats plus the Entrepreneurship Program, so an agent knows exactly what content domain this covers. It stops short of naming how it differs from adjacent siblings like get_pricing or list_services, which also surface commercial information.

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 only implied: an agent can infer this is the tool for training-program questions, including cohort dates and registration deadlines. There is no explicit statement of when to prefer this over get_pricing or list_services, and no exclusions or prerequisites are given.

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