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grid_regions

Read-only

Every power market region we serve: code, market, timezone, currency, source and price cadence.

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": "grid_regions"
  }
}

Input Schema

NameRequiredDescriptionDefault
marketNonem, gb, eu or us; omit for all

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered and the description doesn't contradict it. The description does add value by disclosing the returned record shape (code, market, timezone, currency, source, cadence) in the absence of an output schema, but says nothing about list size, ordering, or stability of the dataset.

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?

A single front-loaded sentence with zero filler; every listed attribute earns its place by telling the agent what a region record contains. Nothing is buried or repeated.

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?

For a one-optional-parameter, read-only enumeration with annotations covering the safety profile and no output schema, describing the returned fields is most of what an agent needs. The remaining gap is that it never connects the 'code' field to the grid_* tools that consume it, leaving the follow-up step implicit.

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 description coverage is 100%, with the single optional 'market' parameter documented as 'nem, gb, eu or us; omit for all.' The description repeats 'market' as a returned field but adds no filtering semantics or example usage beyond what the schema already states, 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?

The description names the resource (power market regions) and enumerates the attributes each record carries (code, market, timezone, currency, source, price cadence), so its identity as a static region lookup is unambiguous and clearly distinct from siblings like grid_price or grid_load. It lacks an explicit verb and never names a sibling, so it stops short of 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 Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no mention of prerequisites, and no indication that the returned region codes are the inputs other grid_* tools expect. An agent must infer the discovery workflow entirely on its own; the one hint, 'omit for all,' lives in the schema rather than the 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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