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NeuralVerge Business Intelligence

Latvia company filings

run_lv_company_filings

List the filed annual reports of a Latvia company (Register of Enterprises) by registration number or registry URL, newest first: financial year, type and link. 1 point per returned record.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companyYesRegistration number or registry URL. e.g. 40003000642
max_itemsNoMax items (up to 250) Default: 25.
start_pageNoStarting page

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

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 and does disclose useful traits: results are ordered newest first, and each returned record costs 1 point. However, it omits permission/auth needs, error behavior, and pagination interaction between start_page and max_items.

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?

A single dense sentence that front-loads the resource, then input mode, ordering, returned fields, and cost. No filler.

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?

No output schema exists, but the description enumerates the return fields (financial year, type, link) and discloses cost and ordering. Missing only auth/pagination caveats, which keeps it just short of complete.

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 coverage is 100%, so the schema already documents all three parameters. The description restates that input can be a registration number or registry URL, adding no syntax or 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 (List) and resource (filed annual reports of a Latvia company), names the source register (Register of Enterprises), and enumerates returned fields. It is clearly distinct from a company-list tool, but it never explicitly names the sibling run_lv_companies/run_lv_companies_search to route the agent.

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?

There is no when-to-use or when-not-to-use guidance, and no alternative named among the many sibling filing/company tools. The agent must infer usage from the purpose line 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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