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by io.github.pipeworx-io
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Get Representatives

get_representatives
Read-onlyIdempotent

List members of parliament (MPs, "representanter") for a 4-year electoral period. Returns fornavn (first), etternavn (last), parti (party), fylke (county), kjoenn (gender).

Example tool call

This call uses example arguments supplied in the tool’s input schema.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "stortingsperiodeid": "2021-2025"
    },
    "name": "get_representatives"
  }
}

Input Schema

NameRequiredDescriptionDefault
stortingsperiodeidYesElectoral period id, e.g. "2021-2025".

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
+  {
+    "stortingsperiodeid": "2021-2025"
+  }
+]
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, and the description adds context by specifying the scope (4-year period) and return fields. This is sufficient for a read-only, idempotent data retrieval tool; no contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with clear, front-loaded wording. No redundant or filler content; every word adds value.

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?

The description is adequate for a simple read-only list tool with one parameter. It discloses the return fields and scope, and no output schema exists so listing fields is helpful. Minor omissions like sorting or limits do not detract significantly.

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% with the parameter description already providing context. The description mentions '4-year electoral period' which aligns with the parameter but adds little beyond the schema. Baseline 3 is appropriate.

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?

The description clearly states the verb 'List' and the resource 'members of parliament' with a specific scope ('for a 4-year electoral period'). It distinguishes itself from siblings like get_parties or get_votes by focusing on representative data.

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 description implies the tool is used for retrieving MPs for a given electoral period, but it does not explicitly mention when not to use it or point to alternative tools. Usage context is present but no exclusions or alternatives are stated.

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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