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Renewably

EV charging plan

plan_ev_charging
Read-onlyIdempotent

The cheapest or greenest half hours to charge an electric car by a ready-by time up to four days ahead.

Input Schema

NameRequiredDescriptionDefault
dayNoReady-by day: today, tomorrow, in2 or in3 (default: the next time `time` comes round, at least four hours away).
mpkNoMiles per kWh, for the per-mile figures (1.5-6, default 3.3).
nowNoCharge now, % (0-100, default 30).
modeNo`timer` (one unbroken block, default) or `smart` (any half hours).timer
timeNoReady-by local time, HH:MM (default 07:00).07:00
exportNoHow export is paid: `paired` (the tariff's own export tariff, default), `fixed` (with export_rate), `fit` (the Feed-in Tariff's deemed export: paid whatever is exported, so the sun used at home gives nothing up), `none`, or an export tariff's key from list_tariffs?direction=export (used where the tariff can have it, else its own).
regionYesAgile region: a letter A-P or the slug from list_regions (eg `C` or `london`); list_regions lists well-known places in each.
targetNoTarget charge, % (0-100, default 80).
tariffNoA tariff's key from list_tariffs (default `agile`), eg `go`, `edf-go-electric`, `eon-next-drive`.agile
batteryNoUsable battery, kWh (5-200, default 60).
chargerNoCharging power, kW (1-22, default 7.4).
optimiseNo`cost` (default) or `carbon`.cost
solar_kwpNoThe home's solar panels, kWp (0.2-50): the answer then counts their forecast spare sun – see the docs' Solar panels section.
efficiencyNoCharging efficiency, % (60-100, default 90).
export_rateNoA fixed export rate, p/kWh (0-100).
solar_pitchNoTheir angle from flat, degrees (0-90, default 35).
solar_facingNoThe way they face: S, SE, SW, E, W, NE, NW or N – or a bearing in degrees (south is 180). Default S.
solar_inverter_kwNoThe inverter's limit, kW (0.5-50), if smaller than the panels.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent and openWorld, so safety is covered. The description adds two real behavioral facts beyond that: the optimisation objective is a choice between cost and carbon, and the horizon is capped at four days. It says nothing about what a plan contains (sessions, prices, savings), which matters because there is no output schema.

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 front-loaded sentence with no filler. The compression costs a little readability ('by a ready-by time up to four days ahead'), but nothing is wasted.

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?

This is an 18-parameter planning tool with no output schema, and the description gives no sense of the result shape, no usage context, and no pointer to its nearest alternatives. The schema carries almost all the burden, leaving the description inadequate for a tool of this complexity.

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 the schema itself routes the agent to list_regions and list_tariffs and explains timer vs smart modes. The description adds no parameter detail beyond loosely echoing optimise and day, 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 a specific resource (the cheapest or greenest half hours to charge an electric car) and a specific constraint (ready-by time, up to four days ahead), which separates it from battery and heat-pump siblings. It never names the closest alternatives (find_cheapest_window, plan_home_battery), so differentiation is implied rather than stated.

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 or when-not-to-use guidance, and no mention of find_cheapest_window or plan_home_battery as alternatives. An agent must infer routing criteria from the one-line purpose alone.

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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