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NeuralVerge Business Intelligence

Estonia company documents

run_ee_company_documents

Annual reports and documents of one Estonian company (e-Business Register): date, type, title and download links. 1 point per returned record.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companyYesRegistration number or registry URL. e.g. 12417834
max_itemsNoMax items (up to 250) Default: 25.
start_pageNoStarting page

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
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 usefully discloses the cost model ('1 point per returned record') and enumerates the returned fields, which is real behavioral context. However it says nothing about pagination behavior, rate limits, or permission/auth requirements implied by the max_items/start_page params.

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; the resource and scope are front-loaded, the returned fields enumerate value, and the pricing note is a single tight clause. No filler, though nothing is formalized as distinct usage sub-points.

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 simple single-company list tool there is no output schema, so describing the fields returned (date, type, title, download links) plus the point cost gives an agent enough to call it correctly. It stops short of explaining pagination semantics or how max_items and start_page interact, which would fully close the loop.

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 'company', 'max_items', and 'start_page' with types, defaults, and bounds. The description adds no syntax or format detail beyond that (e.g. it doesn't clarify the registration-number-vs-URL choice for 'company'). Baseline 3 is appropriate.

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 – 'Annual reports and documents of one Estonian company' – and names the source (e-Business Register) plus the returned fields (date, type, title, download links). It is easy to understand, but it does not explicitly differentiate itself from the near-named siblings run_ee_companies / run_ee_companies_search or from the run_XX_company_filings family.

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 phrase 'of one Estonian company' implies the tool is for a single-company lookup, and the required 'company' parameter reinforces this, but there is no explicit when-to-use / when-not-to-use guidance or routing to run_ee_companies or run_ee_companies_search. Usage is only 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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