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JP Election Discovery

get_entrypoint

Read-onlyIdempotent

Find Japanese election data and official-source routes through the JP Election public discovery index. Returns versioned absolute links, coverage, relations, search history and scoped AERL guidance. Not an official election authority or a fact lookup tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld, and non-destructive, so the safety profile is covered. The description adds genuinely new behavioral context beyond them: the exact shape of the return payload (versioned absolute links, coverage, relations, search history, AERL guidance) and a provenance caveat that this is not an authority — valuable since no output schema exists.

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?

Three tight sentences with the core purpose front-loaded and the disclaimer trailing. Nothing is padded, though the acronym 'AERL' and terms like 'coverage' and 'relations' are undefined, slightly reducing scannability.

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 zero-param, schema-empty tool with no output schema, the description does double duty by summarizing returns and disclaiming authority, which is adequate. But unexplained jargon (AERL, coverage, relations, search history) leaves the agent guessing about what the payload actually contains, and there are no siblings to anchor expectations.

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, which is the baseline-4 case per the rubric. The description correctly implies a no-argument discovery call and adds no misleading input expectations.

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 (Find) and resource (Japanese election data and official-source routes) scoped to the 'JP Election public discovery index', then enumerates what it returns (versioned absolute links, coverage, relations, search history, AERL guidance). It also distinguishes itself by negation ('not a fact lookup tool'), though the name 'get_entrypoint' alone would be opaque.

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 negative framing 'Not an official election authority or a fact lookup tool' implies when not to use it (no authoritative/factual answers), which is useful disambiguation. However, it never states a positive trigger condition or workflow context for when an agent should reach for this entrypoint, so usage remains implied rather than explicit.

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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