CalculateDepositInterestCalculate deposit/savings interest with Polish Belka tax (19% capital gains tax). Returns gross interest, tax amount, net interest and final amount.
| Name | Required | Description | Default |
|---|---|---|---|
| amount | Yes | The deposit amount in PLN | |
| months | Yes | Deposit period in months | |
| annualRate | Yes | Annual interest rate in percent (e.g. 5.5 for 5.5%) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is known. The description adds the 19% Belka tax rule and return value components, providing useful behavioral context beyond annotations. No contradictions.
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?
A single sentence that front-loads the purpose and then lists the outputs. No waste, perfectly structured for quick agent scanning.
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 read-only calculation tool with full schema coverage and annotations, the description fully covers what the agent needs: inputs, tax rule, and outputs. No output schema exists, but the description compensates by listing return values.
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 coverage is 100% — every parameter has a description. The description adds context (Polish tax) but doesn't detail parameter syntax beyond what the schema already provides. Baseline 3 is appropriate.
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 ('Calculate') and resource ('deposit/savings interest'), and clearly distinguishes from siblings (which are search/get tools). It also lists the outputs, making purpose unmistakable.
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 clearly implies when to use (when interest with Polish tax is needed) and is contextually distinct from sibling search tools. It doesn't explicitly mention alternatives or exclusions, but the sibling names make the calculation role obvious.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct resource or action: search tools are clearly separated by product type (accounts, deposits, cards, etc.), and utility tools (calculation, bank list, referral, date) have no overlap. The relationship between SearchPromotions and GetPromotionDetails is a standard search/detail pattern that is easy to understand.
All tools follow a consistent VerbNoun PascalCase pattern (GetBanks, SearchDeposits, CalculateDepositInterest). The verbs Get, Search, and Calculate are used consistently across the set, making the intent of each tool predictable from its name.
With 13 tools, the server is well-scoped for a bank comparison platform. Each tool serves a clear purpose—covering searches for six product types, promotion management, and supporting utilities—without unnecessary bloat or missing essentials.
The tool set covers the full lifecycle of a bank offer comparison workflow: listing banks, searching all major product categories, retrieving promotion details, calculating deposit interest, obtaining referral codes, and accessing educational blog content. No obvious critical gaps are apparent for the stated purpose.