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IDNSIDNS

tenderapi-mcp

by IDNSIDNS

search_tenders

Search public procurement tenders from BOAMP (France) and TED (EU) using filters like CPV code, region, budget, deadline, source, and status. Returns paginated results.

Instructions

Search public procurement tenders from BOAMP (France) and TED (EU).

Returns a paginated list of tender notices matching the filters.

Args: cpv: CPV classification code (e.g. "72000000" for IT services). region: French region slug, lowercase (e.g. "occitanie", "ile-de-france", "bretagne"). budget_min: Minimum estimated budget, EUR. budget_max: Maximum estimated budget, EUR. deadline_after: ISO date (YYYY-MM-DD); only tenders with submission deadline after this date. source: "boamp" (France) or "ted" (EU-wide). Omit to include both. status: "open" | "closed" | "awarded". buyer_siret: Exact SIRET of the French contracting authority (14 digits). country: ISO 3-letter country code (default FR). page: 1-indexed page number. page_size: Results per page, 1-100.

Returns a dict with keys: total, page, page_size, results (list of tenders).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cpvNo
regionNo
budget_minNo
budget_maxNo
deadline_afterNo
sourceNo
statusNo
buyer_siretNo
countryNo
pageNo
page_sizeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 explains the paginated return format and non-destructive nature implicitly, but does not disclose rate limits, authentication requirements, or other behavioral constraints, meeting only minimal adequacy.

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?

The description is concisely structured with a brief introductory line, followed by a clear bullet-point list of parameters and a final line about the return value. Every sentence adds value, with no repetition or fluff.

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?

Given 11 parameters, no annotations, and an output schema, the description adequately covers the input semantics and return structure. However, it lacks examples, error handling, or edge-case behavior, which would make it fully complete.

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

Parameters5/5

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

Schema coverage is 0%, so the description must compensate. It provides detailed, human-readable explanations for all 11 parameters (e.g., 'CPV classification code (e.g. "72000000" for IT services)'), adding significant meaning beyond the schema's type and name information.

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 for public procurement tenders from specific sources (BOAMP and TED). It uses a specific verb 'search' and resource 'tenders', distinguishing it from sibling tools like 'search_awards' and 'winner_intel'.

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 description provides parameter details but no explicit guidance on when to use this tool versus alternatives like search_awards or winner_intel. It does not mention conditions, prerequisites, or exclusions, leaving usage inference implied.

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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