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Search Polish public tenders

search_tenders

Search public procurement tenders from BZP and TED databases to find active opportunities, results, and contract awards with filtering by location, value, category, and deadlines.

Instructions

Search public procurement tenders from BZP (Biuletyn Zamówień Publicznych) and TED (Tenders Electronic Daily) via Atlas Przetargów. Returns a list with titles, buyers, locations, CPV codes, estimated values and deadlines. Use for queries like 'aktywne przetargi budowlane w Warszawie', 'zamówienia IT powyżej 500k PLN', 'co kupuje ZUS'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoFull-text search query (Polish terms work best), e.g. 'budowa drogi', 'komputer'
cpvNoCPV code prefix or full code. Examples: '45' (roboty budowlane), '72' (IT services), '45240000-1'
cityNoCity name, e.g. 'Warszawa', 'Kraków'
provinceNoPolish province code: PL02 dolnośląskie, PL04 kujawsko-pomorskie, PL06 lubelskie, PL08 lubuskie, PL10 łódzkie, PL12 małopolskie, PL14 mazowieckie, PL16 opolskie, PL18 podkarpackie, PL20 podlaskie, PL22 pomorskie, PL24 śląskie, PL26 świętokrzyskie, PL28 warmińsko-mazurskie, PL30 wielkopolskie, PL32 zachodniopomorskie
buyerNipNoNIP (tax ID) of the procuring entity (zamawiający)
noticeTypeNoContractNotice = active tender; TenderResultNotice/ContractAwardNotice = results
orderKindNoKind of procurement: works (roboty), supplies (dostawy), services (usługi)
dateFromNoISO date YYYY-MM-DD — filter publications from
dateToNoISO date YYYY-MM-DD — filter publications to
valueMinNoMinimum estimated value in PLN
valueMaxNoMaximum estimated value in PLN
sortNoSort order (default: newest)
limitNoMax results per page (1-50, default 20)
pageNoPage number (default 1)
Behavior3/5

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

With no annotations provided, the description carries full burden. It discloses the return format (list with titles, buyers, locations, etc.) and suggests Polish terms work best, but doesn't mention rate limits, authentication requirements, pagination behavior beyond parameters, or error handling.

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

Conciseness5/5

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

Two well-structured sentences: first states purpose and return format, second provides usage examples. Every word earns its place with zero waste, making it highly efficient and front-loaded.

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

Completeness4/5

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

For a complex 14-parameter search tool with no annotations and no output schema, the description provides good purpose clarity and usage examples. However, it could better address behavioral aspects like result limitations, authentication needs, or error scenarios given the tool's complexity.

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 all 14 parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema, maintaining the baseline score of 3.

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

Purpose5/5

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

The description clearly states the tool searches public procurement tenders from specific sources (BZP and TED via Atlas Przetargów) and returns a list with specific fields. It distinguishes from siblings by focusing on search functionality rather than getting specific entities or statistics.

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

Usage Guidelines5/5

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

The description explicitly provides when to use this tool with concrete query examples ('aktywne przetargi budowlane w Warszawie', 'zamówienia IT powyżej 500k PLN', 'co kupuje ZUS'), giving clear context for appropriate usage scenarios.

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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