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iseppo

e-arveldaja MCP Server

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Generate Annual Report Data

generate_annual_report_data
Read-onlyIdempotent

Generate Estonian RTJ micro/small-entity annual-report data for a given fiscal year, including statements, cash-flow data, ratios, and notes.

Instructions

Generate Estonian RTJ micro/small-entity annual-report data: statements, cash-flow data, ratios, and notes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYesFiscal year (YYYY)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.29.2
    • addedInput schema / additionalProperties
      Added value: +false
  2. Addedv0.25.3
  3. Removedv0.25.2
  4. First observedv0.18.1

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds the output scope (statements, cash-flow, ratios, notes), but omits what underlying data it depends on and whether the year must be otherwise finalized.

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?

A single front-loaded sentence that lists the generated artifacts and wastes no words. It is dense but organized; only the choice of a colon-list rather than a sentence slightly limits readability.

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?

With no output schema, the description does name what is returned (statements, cash-flow, ratios, notes), which is helpful. However, for a report-generation tool it leaves out prerequisite context (which periods, dependent data state) an agent would need to call it correctly.

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% and the single 'year' parameter is fully documented as 'Fiscal year (YYYY)'. The description adds no meaning beyond the schema, 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 ('Generate') and a precise resource ('Estonian RTJ micro/small-entity annual-report data') and enumerates the artifacts produced (statements, cash-flow, ratios, notes). It is clear but does not differentiate itself from siblings like compute_balance_sheet or prepare_year_end_close that also produce financial figures.

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?

The description says only what the tool produces, never when to invoke it versus adjacent tools such as compute_balance_sheet, compute_profit_and_loss, or prepare_year_end_close. No prerequisites (e.g., year-end close completion, confirmed journals) are mentioned.

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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