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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so safety is covered structurally. The description adds real behavioral context beyond them: the call executes as the connected trainer and inherits the app's permission model ('Same permissions as the app'), and the response mirrors the app's JSON. Pagination, error behavior and rate limits remain undisclosed.

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 mechanism ('Runs any GET operation...') before the resource enumeration. The long list of data types is dense but earns its place by defining the tool's scope for an agent deciding whether it can serve a given read.

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?

There is no output schema, and while the description says the response is 'the same JSON the app gets' plus example resources, it does not describe pagination, error shape, or how the query object maps onto the underlying endpoint. For a generic path-based passthrough with a nested query parameter, that leaves meaningful gaps.

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 the schema already documents both parameters, giving a baseline of 3. The description adds meaning by naming the authoritative source for valid paths (list_operations) and by enumerating the kinds of resources reachable through it, which helps an agent construct a path rather than guess.

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+resource: it runs any GET operation catalogued in list_operations and returns the app's JSON. The GET framing implicitly separates it from api_write, and it points at list_operations as the catalog of valid paths. It stops short of an explicit contrast with narrower sibling getters like get_student or get_schedule.

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?

The description implies that the path argument is drawn from list_operations, which is useful routing context. However it never says when to prefer this generic passthrough over the dedicated siblings (get_student, get_schedule, list_payments, search_exercises), which is exactly the ambiguity an agent faces here.

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