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grid_load

Read-only

Latest grid demand for a region in MW.

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_load"
  }
}

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

B3.2/5.0
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 freshness signal ('latest') and the measurement unit (MW), which are genuinely useful. It stops short of saying how current the data is, where it comes from, or whether values are interval or instantaneous.

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?

One short sentence, front-loaded with the core purpose and no wasted words. It is close to under-specified rather than verbose, but nothing is redundant.

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 two-parameter read-only lookup with fully documented schema this is close to adequate, but with no output schema the description should say what comes back (single scalar? per-region array?) and how stale 'latest' may be. Those gaps matter for an agent deciding whether to trust the reading.

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%, and both required parameters carry descriptions including a pointer to grid_regions for valid region codes. The description itself adds no parameter detail, so the baseline 3 applies. It misses the chance to note that market and region must be consistent with each other.

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 and resource: 'Latest grid demand for a region in MW.' An agent can distinguish it from grid_price or grid_generation because it names demand explicitly, and the unit (MW) pins down the quantity.

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?

No when-to-use or when-not-to-use guidance. The word 'latest' weakly implies current rather than historical demand, but the description never points to an alternative (e.g., history) or explains when grid_price or grid_generation would be the better call.

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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