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

Annotations already provide excellent behavioral context (readOnlyHint: true, destructiveHint: false). The description complements this by clarifying the operational scope ('of the company'), which is important context regarding the data set's boundaries.

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 brief and follows a logical flow, defining the resource/scope first, and then providing technical context (HTTP method and path) at the end. There is no padding or unnecessary information.

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 completeness of the input schema and the clarity of the annotations, the description is fully sufficient to enable an AI agent to select and invoke this tool confidently. It covers the 'what,' 'where,' and 'how' without redundancy or omission.

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?

Since schema description coverage is 100%, the description's role is supervisory. It effectively signals which parameters are optional (user or status) and reinforces the primary constraints (date range), fulfilling the baseline requirement for a description supporting a well-documented schema.

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 clearly defines the resource being retrieved ('Time off (leave) requests') and the primary scope ('of the company in a date range'). It is specific enough to distinguish itself from other Talenta list tools, particularly those focused on attendance or candidates.

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 usage conditions by listing optional filters (user or status), but it lacks explicit guidance on when to choose this tool over highly related siblings like 'talenta_list_schedules' or 'talenta_time_off_balance_history'. It tells you what you can do, but not necessarily when you should use it vs. an alternative.

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