learning_session

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adds valuable context: 'Blocks until done' indicates this is a synchronous, blocking operation that may take time, which is crucial for an agent to understand execution flow. However, it doesn't disclose other behavioral traits like error handling, authentication needs, or rate limits, leaving some gaps.

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 extremely concise and front-loaded: it's a single sentence with three key pieces of information (what it is, when to use it, behavioral trait). Every word earns its place with zero waste, making it easy for an agent to parse quickly.

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 the tool has 6 parameters with 0% schema coverage and no annotations, the description is incomplete. It covers usage and blocking behavior but ignores all parameters and doesn't explain the interactive quiz functionality in detail. The presence of an output schema helps, but the description should provide more context about inputs and quiz mechanics to be fully helpful.

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%, meaning none of the 6 parameters are documented in the schema. The description provides no information about any parameters—it doesn't mention project_directory, summary, reasoning, quizzes, focus_areas, or timeout. This fails to compensate for the lack of schema documentation, leaving parameters entirely unexplained.

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 the tool is an 'Interactive quiz card' which gives a general purpose, but it's vague about what specific action it performs. It mentions 'Call ONLY when user says 'quiz me' or 'test me'' which adds context but doesn't clearly specify the verb+resource combination (e.g., 'initiates a quiz session' or 'presents quiz questions'). It distinguishes from siblings by its interactive nature, but the purpose remains somewhat ambiguous.

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 provides explicit usage guidelines: 'Call ONLY when user says 'quiz me' or 'test me''. This clearly states when to use the tool (in response to specific user prompts) and implies when not to use it (for other purposes). It doesn't name alternatives, but given the sibling tools (debug_record, debug_search, term_get) are unrelated to quizzes, this is sufficient for strong guidance.

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