record_study_session

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

Without annotations, the description discloses that it stores topics and duration and updates study streak analytics, which is a useful side effect. However, it doesn't mention prerequisites, idempotency, or what happens on repeated calls, leaving the agent with limited behavioral context.

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 a single concise sentence that front-loads the main action and then provides supporting details, with no unnecessary verbiage.

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?

For a simple 3-parameter tool with no output schema, the description covers what it does and its main side effect. However, it doesn't mention what the tool returns, which the agent would need to know since there is no output schema, making it incomplete.

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?

All three parameters are fully described in the schema (100% coverage), and the description doesn't add additional parameter semantics beyond restating that topics and duration are involved.

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 uses a specific verb 'Record' and resource 'completed study session', and further details what is stored and the analytics update. However, it doesn't explicitly contrast with sibling tools like log_topic or log_quiz_result, so it lacks differentiation.

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 the tool is for after a session is completed, but it gives no explicit guidance on when to use it versus alternatives such as log_topic or log_quiz_result, and no exclusions.

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