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

No annotations exist, so the description carries the full burden. It does disclose two useful behaviors: the accepted input duality (canonical subject code OR arbitrary topic tag) and the pagination contract (results are paginated; pass the returned cursor for more). It says nothing about the result shape or whether it is a pure read, leaving notable behavioral ground uncovered.

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, each earning its place: purpose, valid-input sourcing with examples, then pagination mechanics. The most decision-relevant information is front-loaded and nothing is padded.

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 and no annotations, the description must stand alone, and it covers input sourcing and pagination adequately. The remaining gap is that it never characterizes what a returned study plan or article contains, which an agent browsing results would benefit from knowing.

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 baseline is 3, but the description adds real meaning for the free-form 'subject' parameter by giving concrete valid values ("parsha", "holidays", "tehillim", "jonah", "purim", "psalm 23"), and it reinforces the cursor's round-trip usage beyond the schema text.

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 gives a specific verb and resource: 'List study plans and articles for a subject or topic', and it points at list_subjects as the source of valid subject codes. It is distinguishable from get_plan/get_chapter (which fetch a single item) and list_subjects (which enumerates subjects), though it never contrasts itself with those siblings explicitly.

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?

It states the triggering condition clearly (browse content for a subject code or any topic tag) and names list_subjects as the place to obtain subject codes, which is genuine routing guidance. It stops short of saying when to prefer this over get_plan for a specific plan, so there are no explicit exclusions.

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