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search_financial_screener

An advanced financial screener and discovery engine for Croatian companies based on FINA statutory filings for a specific reporting year (default 2024). Supports range filtering for revenue (total_income), operating income, net profit, total assets, liabilities, equity, profit before tax, estimated EBITDA, and equity solvency ratios. Results can be sorted and paginated. RULES: Never invent financial thresholds or company profiles. If screening criteria are not provided, interview the user first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoFilter by city / municipality
yearNoTarget financial reporting year (default 2024)
limitNoNumber of results (default 20, max 100)
countyNoFilter by county / Županija
offsetNoPagination offset
sort_byNoMetric to sort by (e.g. total_income, profit_for_the_year). Default total_income
nkd_codesNoFilter by primary NACE/NKD industry activity codes
max_ebitdaNoMaximum estimated EBITDA (operating income - expenses)
max_equityNoMaximum capital and reserves (equity)
min_ebitdaNoMinimum estimated EBITDA (operating income - expenses)
min_equityNoMinimum capital and reserves (equity)
sort_orderNoSort direction: asc or desc. Default desc
is_profitableNoFilter profitable (true) or loss-making (false) companies
max_net_profitNoMaximum net profit/loss
min_net_profitNoMinimum net profit/loss
size_indicatorsNoFilter by size classifications (e.g. Mikro, Mali, Srednji, Veliki)
max_equity_ratioNoMaximum solvency / equity ratio (0.0 to 1.0)
max_total_assetsNoMaximum total assets
max_total_incomeNoMaximum revenue / total income
min_equity_ratioNoMinimum solvency / equity ratio (0.0 to 1.0)
min_total_assetsNoMinimum total assets
min_total_incomeNoMinimum revenue / total income
max_operating_incomeNoMaximum operating revenue
min_operating_incomeNoMinimum operating revenue
max_profit_before_taxNoMaximum profit before tax
max_total_liabilitiesNoMaximum total liabilities
min_profit_before_taxNoMinimum profit before tax
min_total_liabilitiesNoMinimum total liabilities

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the data source (FINA statutory filings), a default reporting year (2024), that filtering is range-based, and that results can be sorted and paginated. It does not describe the return shape, what a result row contains, result ordering guarantees, or performance characteristics of a 28-filter query.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with what the tool is and what it filters, followed by a compact RULES block. Every sentence is functional; the only minor inefficiency is that the metric list partially duplicates the schema. No filler or redundancy otherwise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 28-parameter search tool with no output schema, the description covers filtering, sorting, pagination, and the data source, but never describes what the returned records look like or what fields come back. Given the absence of an output schema, a brief note on the result shape would materially complete the definition.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents every parameter, and the description's enumeration of filterable metrics (revenue, operating income, net profit, assets, liabilities, equity, PBT, EBITDA, solvency ratios) largely mirrors the schema. It adds no units, currency, or range-format detail beyond what the schema provides, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource: a 'financial screener and discovery engine for Croatian companies based on FINA statutory filings.' It is clearly differentiated from single-company getters like get_company_financials by being a multi-company discovery tool, but it never names a sibling (e.g. search_companies) to draw the boundary explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The RULES line gives a precondition ('If screening criteria are not provided, interview the user first') and a constraint ('Never invent financial thresholds'), which is real usage guidance. However, it gives no alternatives or when-to-use-vs-siblings guidance, so the reader must infer that this is the tool for multi-criteria financial filtering rather than keyword search.

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

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