add_item

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

No annotations are provided, so the description carries the full burden. It does disclose a key behavioral fact: new items are due immediately. However, it does not mention side effects, permissions required, reversibility, or what happens if the topic doesn't exist. The single behavioral note is valuable but insufficient for a mutation tool with zero annotation coverage.

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?

The description is two sentences with no filler. The first sentence immediately states the action and provides useful examples, and the second adds a critical behavioral note. Every word earns its place, and the information is front-loaded.

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?

Given no annotations, no output schema, and 0% schema description coverage, the description is incomplete. It omits what the tool returns, how errors are surfaced, whether there are constraints on topic or content, and any side effects on related data. For a create operation, this is a notable gap that could mislead an agent.

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 0%, so the description must compensate. It hints at parameter meanings through examples ('LeetCode problem', 'under a topic') but does not explicitly define 'topic', 'question', or 'answer'. While some semantics are implied, the description does not fully explain each parameter's purpose or format, leaving gaps that the schema cannot fill.

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 states a specific verb (Add), a specific resource (spaced-repetition item) with concrete examples (LeetCode problem, vocab word, interview question), and the container (under a topic). It is clearly distinct from the sibling tools, which handle retrieval, grading, stats, export, and forecasting. An agent can immediately tell this tool is for creating a new item.

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 makes the use case unambiguous: it is for adding new items. While it does not explicitly name alternatives or say 'use this instead of X', the action of adding is clearly differentiated from the sibling tools (e.g., grade_item, get_due_items). This provides clear context with no explicit exclusions, which fits a score of 4.

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