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NeuralVerge Business Intelligence

Estonia companies search

run_ee_companies_search

Search the Estonia company registry (e-Business Register) by company name: name, registration number, status, address and link. 1 point per returned record.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNoStatus. Options: active = Active, inactive = Inactive / dissolved
keywordYesCompany name. e.g. bolt
max_itemsNoMax items (up to 250) Default: 25.
start_pageNoStarting page

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does add a genuine behavioral trait beyond structured data — '1 point per returned record' discloses a cost model — but it omits auth requirements, rate limits, and pagination semantics, leaving substantial gaps for a registry-query tool.

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?

Two compact sentences with the core purpose front-loaded. The field list earns its place since no output schema exists, though the phrasing is slightly list-heavy for a definition this short.

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?

The return-field list usefully compensates for the missing output schema, and the cost note is a plus. However, with no annotations and no sibling differentiation, an agent still lacks enough to confidently choose this over run_ee_companies.

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 all four parameters (keyword, status, max_items, start_page) are already documented with examples and ranges. The description adds nothing parameter-specific beyond restating the name search, so the 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 and resource ('Search the Estonia company registry (e-Business Register) by company name') and lists the returned fields (name, registration number, status, address, link). It does not explicitly distinguish itself from the sibling run_ee_companies, so an agent must infer that this is the keyword-search variant versus a lookup.

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

Usage Guidelines2/5

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

'By company name' implies the search trigger, but there is no explicit when-to-use guidance and no mention of the alternative run_ee_companies (lookup) or run_ee_company_documents. The agent is left to infer routing from the name alone.

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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