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

Annotations already declare readOnly, idempotent, non-destructive and openWorld=false, so the safety profile is covered. Beyond that, the description adds genuinely non-structured context: the text is Persian (fa-IR, RTL), it is sourced from public fekrestan.com pages aimed at parents and teachers, and it deliberately omits exercise answers. Those details plausibly change how an agent interprets and presents the output.

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?

Three sentences, front-loaded with the payload list before the language/source note and the scope caveat. The parenthetical qualification about the public page URL is precise rather than padding. Slightly dense colon-and-list construction keeps it from a 5.

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 one enum parameter, no output schema and full annotation coverage, the description does the work of describing the return shape (goal, phases, pace, 30 stations with fields, milestones). An agent knows what it will get and in what language. It could still be clearer about how this relates to list_subjects or get_roadmap for multi-track needs.

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 100% and the single parameter carries an explicit five-value enum plus a description ('Track id, e.g. math'), so the schema does the heavy lifting. The prose only implies that the argument selects one track and adds no format or naming guidance beyond the enum. Baseline 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 concretely enumerates what the tool returns for a single track: final goal, phases, pace note, the 30 stations (title, wonder question, public page URL) and typical milestones. That is far more specific than a tautology and 'One track' implicitly contrasts with the list-shaped sibling list_subjects. It stops short of naming any sibling explicitly, so it earns a 4 rather than a 5.

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?

There is no explicit 'use this when' statement, no prerequisites, and no named alternative such as list_subjects, get_roadmap or get_station_overview. Usage is only inferable from the returned-content list and the single 'track' parameter. The closing scope exclusion ('No answers to in-app exercises') does provide one useful boundary, keeping it at 3 rather than 2.

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