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get_promotions

Get current deals, coupons, and exclusive affiliate offers for utilities at a Texas address — use when the user wants the best available price, not just any provider. Use when the user says 'what's the cheapest electricity deal in Dallas right now', 'any promotions for internet at my new Houston apartment', or 'find me a coupon before I sign up for my move-in'. Returns active promotions with discount details, expiration dates, and whether each offer is exclusive to Utilify; filter by utility_types or provider_slugs to narrow. Promotions are TDU-aware for electricity — only deals from REPs that actually serve the address are returned. Always pass address (or at least the ZIP) so the filter applies; calling this without an address returns a generic statewide list that may include un-buyable offers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYesFull street address including city, state, and ZIP code
utility_typesNoFilter promotions by utility type
provider_slugsNoFilter promotions by specific provider slugs

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations provided, the description fully discloses key behaviors: promotions are TDU-aware for electricity, returns active promotions with discount details and expiration dates, and that calling without an address returns a generic list that may include un-buyable offers.

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 well-structured, starting with purpose, then usage examples, then behavioral details, and finally parameter guidance. It is slightly lengthy but every sentence adds value, and the information is front-loaded.

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

Completeness5/5

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

Given the tool has no output schema and no annotations, the description covers all essential aspects: what it returns, filtering options, address importance, and the TDU-aware behavior. It is complete for the agent to use correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but the description adds meaning beyond the schema by explaining how filtering with utility_types or provider_slugs narrows results, and emphasizing the importance of passing the address for accurate offers.

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?

The description clearly states the tool retrieves current deals, coupons, and exclusive offers for utilities at a Texas address. It gives specific verb-resource combinations ('get current deals') and distinguishes from sibling tools like 'compare_providers' or 'initiate_signup' by focusing solely on promotional offers.

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 description provides explicit scenarios for use, such as when the user asks for the cheapest electricity deal or wants a coupon before signing up. It also advises on calling with or without an address, though it does not explicitly state when not to use the tool.

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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TDQS

A4.6/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: search, details, comparison, promotions, signup, status, checklist, and solar lead. No overlaps.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (e.g., check_signup_status, compare_providers, get_move_checklist).

Tool Count5/5

8 tools cover the utility setup domain well, from discovery to enrollment and status tracking, without being excessive or too sparse.

Completeness4/5

Covers the main lifecycle: search, details, compare, promotions, signup, status, checklist, and solar. Missing update/cancel for signups but that's acceptable as enrollment is often handled externally.