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What is on TV right now

tv_now_on_tv
Read-onlyIdempotent

Returns the programs currently broadcasting on Romanian TV channels. Use this for "What is on TV now?" type questions. Default scope is the 14 main channels; pass scope="all" for the full 254-channel list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax number of items to return
scopeNomain = 14 main Romanian channels (PRO TV, Antena 1, Kanal D, TVR 1/2, Digi 24, etc.); all = all 254 channelsmain
categoryNoFilter by channel category: Generaliste | Știri | Sport | Filme & Seriale | Documentare | Copii | Muzică | Altele
exclude_newsNoDrop channels whose category is "Știri" (Romanian news channels)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
itemsYes
scopeYes
asked_at_utcYes
generated_atNo

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the description adds value by specifying the data source (Romanian channels) and scope behavior (default 14 channels vs all 254). No contradictions; description aligns with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences with no wasted words. The first sentence states the core function, the second provides usage guidance and scope variants. Information is front-loaded and easily parsed.

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?

Despite 4 parameters and no output schema details needed (as output schema exists), the description covers the essential context: purpose, geographic scope, filtering options, and default behavior. All parameters are explained through schema and description combination.

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

Parameters5/5

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

Schema coverage is 100%, but the description adds significant detail beyond the schema: it explains the scope enum values with examples (main = 14 channels like PRO TV, Antena 1, etc.; all = 254 channels), and clarifies the category filter as 'Romanian channel categories'. This enriches the agent's understanding.

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 title 'What is on TV right now' and description 'Returns the programs currently broadcasting on Romanian TV channels' clearly define the tool's purpose. It specifies the verb 'Returns', the resource 'programs currently broadcasting', and the scope 'Romanian TV channels', distinguishing it from sibling tools like 'tv_get_prime_time' or 'tv_search_program'.

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?

Description explicitly states 'Use this for "What is on TV now?" type questions', providing clear use context. It also explains default scope and the option to pass scope='all' for full list. However, it does not explicitly mention when not to use or compare with alternative tools like 'tv_search_program', but the specificity is sufficient for an AI agent.

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

A4.2/5.0
Disambiguation4/5

Tools are largely distinct with clear use cases, though tv_recommend_by_mood and tv_recommend_today overlap somewhat in providing ranked lists. The descriptions include guidance to prefer tv_concierge for single decisions, which helps reduce confusion.

Naming Consistency5/5

All tool names follow a consistent 'tv_' prefix with a verb_noun pattern (e.g., tv_check_freshness, tv_search_program). Minor exceptions like tv_important_today and tv_now_on_tv still adhere to the same structure, maintaining high consistency.

Tool Count5/5

With 14 tools, the set is well-scoped for a comprehensive TV and streaming recommendation service. Each tool addresses a specific user need without being excessive, making the set appropriate for the domain.

Completeness4/5

The tool set covers key operations: search, recommendations (single, list, for couples), planning, prime-time/now, important events, and details. Minor gaps like user preference storage are absent, but the coverage is sufficient for most user queries.