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polls.karbach.digital

get_spain_general_2026

Spanish general election 29 Nov 2026: seats per list (median and range), poll average, majority chances. Blackout 24 to 29 Nov (art. 69.7 LOREG). After polls close: official count (seats, vote share, counted percent), forecast for comparison.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_spain_general_2026"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations at all, the description carries the full burden and does meaningful work: it discloses the legal blackout period, the shift to official count after polls close, and what fields accompany each phase (seats, vote share, counted percent, forecast for comparison). It stops short of saying what the tool actually returns or errors during the blackout, which keeps it from a 5.

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?

The description is short, front-loaded with the election and payload, then the temporal constraints, with no filler sentences. The telegraphic fragment style ('Blackout 24 to 29 Nov') is dense but slightly harder to parse than flowing prose.

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 and there are no parameters or annotations, so the description must convey both content and timing behavior, which it largely does: it lists pre-election estimates, the blackout rule, and post-close official results. It could be more complete by clarifying what is returned during the blackout itself, but the essential calling context is present.

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

Parameters4/5

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

The tool takes zero parameters, so there is no parameter semantics to explain and the baseline of 4 applies. The description correctly adds no spurious parameter guidance.

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 (Spanish general election, 29 Nov 2026) and enumerates the exact payload: seats per list with median and range, poll average, majority chances, and post-close official count. That is far more specific than a generic 'get_election'. It does not explicitly distinguish itself from siblings such as get_spain_provinces_2026 or get_latest_polls, so a 4 rather than a 5.

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?

Usage context is implied through the blackout window (24-29 Nov, art. 69.7 LOREG) and the pre-close/post-close data phases, which tells an agent when the returned content changes. However, no alternative tool is named and there is no explicit when-to-use/when-not-to-use statement relative to get_election, get_latest_polls, or get_spain_provinces_2026.

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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