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grid_generation

Read-only

Latest generation mix for a region: MW per fuel, total and renewables share (basis points).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "market": "<market>",
      "region": "<region>"
    },
    "name": "grid_generation"
  }
}

Input Schema

NameRequiredDescriptionDefault
marketYesnem (Australia), gb, eu or us
regionYesRegion code, e.g. NSW1, GB, DE_LU, CAISO. List them with grid_regions.

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. The description adds the output units (MW, basis points for the renewables share), which is useful, but says nothing about data freshness/latency, fuel coverage, or behavior when a region code is invalid.

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?

A single sentence, front-loaded with the resource and scope, with no filler. It is dense but the 'basis points' unit aside is the only wording that could slow an agent down.

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?

With two fully documented parameters and no output schema, the description usefully sketches the return shape (per-fuel MW, total, renewables share). It still leaves gaps an agent would want: whether a timestamp is returned, which fuels are covered, and result granularity.

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%, so both market (nem/gb/eu/us) and region are already documented, including the pointer to grid_regions. The description contributes no additional meaning about parameter interaction or constraints; 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?

States a specific resource and scope: 'Latest generation mix for a region', and enumerates what comes back (MW per fuel, total, renewables share in basis points). That is clearly distinct from siblings like grid_load or grid_carbon, though it never names them.

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 is only implied by the word 'latest' — the agent can infer this is a current-snapshot tool, not a history tool. There is no explicit when-to-use, no when-not-to-use, and no pointer to alternatives such as a carbon-intensity or price tool for related questions.

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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