Analyze Budget Balance

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

The description adds valuable behavioral context beyond annotations: it specifies that the tool provides 'actionable feedback' and checks for 'common issues like overspending on housing, missing savings, or unassigned income.' While annotations already indicate it's read-only, non-destructive, idempotent, and closed-world, the description enriches this with practical details about the analysis output and common checks performed.

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 efficiently structured in two sentences: the first explains the core analysis and feedback, the second provides usage guidance. Every phrase adds value—no redundancy or fluff—and it's front-loaded with the main purpose. This makes it easy for an agent to quickly grasp the tool's function and when to apply it.

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's moderate complexity (validating budget balance against ZBB principles), rich annotations (covering safety and idempotency), and full schema coverage, the description is largely complete. It clarifies the analysis scope and feedback nature, though without an output schema, it could more explicitly detail the format of results (e.g., structured report vs. simple boolean). Still, it provides sufficient context for effective use.

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?

With 100% schema description coverage, the input schema already fully documents all parameters (monthly_income, allocations, currency). The description adds no additional parameter semantics beyond what's in the schema, such as explaining how allocations are processed or currency affects output. This meets the baseline of 3 when schema coverage is high.

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 the tool's purpose with specific verbs ('analyzes', 'checks') and resources ('budget'), distinguishing it from siblings like 'budget_summary' or 'create_budget_plan' by focusing on balance validation and ZBB principles. It explicitly mentions analyzing whether income minus allocations equals zero and checking for common issues like overspending or missing savings.

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 guidance: 'Use this when someone has a budget and wants to know if it follows ZBB principles correctly.' This clearly defines the context (having a budget, wanting ZBB validation) and implicitly distinguishes it from tools like 'calculate_net_worth' or 'plan_savings_goal' that serve different financial purposes.

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