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Good Turn Studio (all tools)

Lower My Bill: Official help programmes for a bill

lowermybill_get_bill_help
Read-onlyIdempotent

Lower My Bill. Official help programmes for a bill. Use for "is there help paying my internet bill?", "is there a broadband social tariff?", "help with my energy bill in the UK", "help with my electric bill", "cheap internet for low income", "does Xfinity have a low-income plan?". Returns programmes with who qualifies and how to apply

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
billYesinternet, mobile, electricity (or heating, gas), water, tv, streaming, car insurance, home insurance, credit card, council tax (UK), or a provider name. Up to 60 characters.
stateNoUS state name or two-letter code. For electricity, adds the state's energy discount programme (California, New York, Ohio, New Jersey, Pennsylvania, Georgia). England, Scotland, Wales, Northern Ireland or UK gives the UK answer.
countryNoTwo-letter country code. GB (or UK) gives UK schemes (Ofcom social tariffs, Warm Home Discount, WaterSure, Council Tax Reduction). Defaults to the caller's country, else US.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, so the safety profile is covered. The description adds return-content context ('programmes with who qualifies and how to apply'), but says nothing about data freshness, source, or coverage limits despite openWorldHint=false implying a fixed dataset.

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?

Front-loaded with the purpose, then a dense block of example queries and the return shape. The long list of quoted questions is slightly repetitive but each maps to a real phrasing, so it earns most of its space.

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?

With no output schema, the description usefully states the return payload ('who qualifies and how to apply'), and the schema fully documents inputs. Auth/rate-limit behaviour and result-set size are unstated, which is a minor gap given the read-only annotations.

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 the schema already explains bill, state and country in detail (bill types, 60-char limit, country defaults). The description adds no parameter-specific meaning beyond that, making the baseline 3 correct.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource: it returns official help programmes for a given bill type. The example queries (social tariffs, low-income internet, energy bill help) make the domain unmistakable and distinguish it from sibling tools like lowermybill_get_bill_script and lowermybill_get_call_reminder.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

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

The quoted example queries give a clear sense of when to reach for this tool (user asking whether help exists for a bill). It does not explicitly name the sibling alternatives or state when NOT to use it, so it falls short of full routing guidance, but context is well conveyed.

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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