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polls.karbach.digital

get_german_state

One German state (Land): parliament seats by group with majority and governing groups, cabinet with portfolios, 13 official statistics with German value and rank, next state election with our forecast.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden, and it does disclose the content shape generously, including that the election data is 'our forecast' rather than raw results. However, it says nothing about read-only status, permissions, rate limits, or whether the state identifier is mutable/canonical, so coverage is partial.

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?

It is a single dense sentence that front-loads the subject and then lists payload components in a scannable order (parliament, cabinet, statistics, election). No filler sentences, though the comma-list style is packed to the point of being slightly run-on.

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?

For a complex, no-output-schema tool, the description usefully enumerates what comes back, which is the right thing to spend words on. The omission is the input side: with 0% schema coverage on the required 'state' argument, the agent lacks guidance on accepted values. Adequate but not complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for the single required 'state' parameter, so the description must compensate. It only hints at the value by glossing the resource as 'German state (Land)'; it never gives an expected format, an example, or whether names, codes, or slugs are accepted. That is a meaningful gap for the one input the agent must supply.

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?

The description names a specific resource ('One German state (Land)') and enumerates the exact payload: parliament seats by group, cabinet portfolios, 13 statistics, next election forecast. This is far more concrete than a generic fetch, and the content domain is distinct from siblings like get_eu_country or get_germany_electricity, though it never names those siblings explicitly to sharpen the contrast.

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 statement of when to use this over alternatives, no prerequisites, and no exclusions. The sibling set contains several geographically adjacent tools (get_eu_country, get_germany_electricity, get_federal_history) and nothing routes the agent between them. Usage is only implied by the content description.

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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