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kardashev-lab

kardashev-mcp

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Get grid load

get_load

Obtain actual electricity demand in megawatts for US ISOs and load zones. Specify ISO, dates, trailing hours, or zone to retrieve grid load data.

Instructions

Actual electricity demand (MW) for a US ISO or zone.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endNoEnd date YYYY-MM-DD.
isoYesISO/RTO code, e.g. CAISO, ERCOT, MISO, NYISO, ISONE, SPP, PJM.
zoneNoOptional zone/load zone filter.
hoursNoTrailing hours.
limitNoMax rows (default 50, max 500).
startNoStart date YYYY-MM-DD.
Behavior2/5

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

With no annotations, the description carries full responsibility for behavioral disclosure, but it only provides a factual label. It does not explain return format, pagination, date handling, or any operational constraints like rate limits or data availability.

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?

The description is a single, concise sentence with no filler or redundancy. It is front-loaded with the key concept, though it could be slightly more informative without becoming long.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 6 parameters, no output schema, and no annotations, the description is far too minimal to be complete. It does not describe the response structure, how date ranges work, or what differentiates this from the load forecast sibling, leaving significant gaps for the agent.

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%—all six parameters have descriptions in the input schema. The tool description adds no additional semantic meaning beyond the schema, so the baseline 3 is appropriate.

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 clearly identifies the resource (electricity demand in MW) and scope (US ISO or zone), and the word 'Actual' distinguishes it from sibling get_load_forecast. However, it lacks an explicit verb, instead using a noun phrase, which costs one point.

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 guidance is provided on when to use this tool versus alternatives like get_load_forecast or list_isos. The description neither states usage context nor mentions exclusions, so it receives the 'no guidance' score.

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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