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Financial history of a company

get_company_history
Read-onlyIdempotent

Per-year financial-metric history for ONE company, routed by its unified id. Read-only.

    Parameters:
    - company_id (required): "AT:{fnr}" or "DE:{court}_{type}{number}" (bare national ids
      accepted), from a search card.
    - metrics (optional, AT only): names of the metrics to return (e.g. bilanzsumme,
      umsatzerloese, equity_ratio); omitted = all. Ignored for DE.

    Returns the backend's history payload plus ``country`` and the prefixed
    ``company_id``: per-metric {year: value} with latest/latest_year. AT serves the parsed
    Bilanz/GuV/ratio series. DE serves the parsed Jahresabschluss series where the company
    has filed and its Bundesland is loaded; an empty series means not-filed or not-yet-
    loaded, never zero (see get_company_details financials.reporting_status). For a single
    snapshot use get_company_details; for the complete record use get_full_record.
    

Input Schema

NameRequiredDescriptionDefault
metricsNo
company_idYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.9/5.0
Behavior5/5

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

Annotations cover the safety profile, but the description adds behavior beyond them: empty DE series means 'not-filed or not-yet-loaded, never zero', AT vs DE backend differences, and metrics being ignored for DE. These are non-obvious operational facts an agent could not infer from annotations or schema.

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?

Well front-loaded with purpose, then clearly sectioned Parameters and Returns blocks; every line is information-dense. Minor ding: the standalone 'Read-only.' sentence repeats readOnlyHint from annotations, adding no new information.

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

Completeness5/5

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

For a backend-varying tool with 2 params, coverage is complete: id formats, metric filtering, payload shape (per-metric {year: value} plus country/prefixed id), and sibling routing are all present. The output schema exists, yet the description still adds the AT/DE interpretation nuance an agent needs.

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 carries the full burden and does: it defines the company_id formats ('AT:{fnr}', 'DE:{court}_{type}{number}', bare national ids accepted) and the metrics parameter (optional, AT-only, example metric names, omitted = all). This fully compensates for the empty schema.

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?

States a specific verb+resource+scope ('Per-year financial-metric history for ONE company'), and explicitly routes to siblings get_company_details (single snapshot) and get_full_record (complete record). An agent can distinguish it from every sibling without opening a schema.

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?

Gives explicit routing rules: use get_company_details for a snapshot, get_full_record for the complete record. It also states a condition on a parameter ('metrics optional, AT only... Ignored for DE'), so both when-to-use and edge conditions are covered.

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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