create_budget

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

With no annotations provided, the description fully covers side effects (read-only, idempotent), authentication, rate limits, error handling, and data privacy. This exceeds the minimum needed and provides comprehensive transparency.

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 long with multiple redundant sections (e.g., 'Behavior' and 'Behavioral Transparency' overlap). While structured, it could be more concise without losing key 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 complexity (4 parameters, nested objects, output schema exists), the description covers behavioral aspects well but lacks parameter details. The output schema likely compensates for return value information, but incomplete parameter semantics reduce completeness.

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%, yet the description's 'Args' section merely repeats parameter names and types with generic phrases like 'the month to analyze or process.' No examples, formats, or constraints are given for the nested 'categories' dictionary or the expected income value.

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 states 'Create a monthly budget with category allocations' and explains that it generates structured output without modifying systems. This distinguishes it from mutating siblings like add_expense, though no explicit differentiation is given.

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?

There are 'When to use' and 'When NOT to use' sections, but the guidance is somewhat vague ('structured analysis or classification') and does not contrast with sibling tools like create_goal or get_budget_status. Rate limits are included but are more about behavioral transparency.

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