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What is on air right now

radio_now_playing
Read-only

Current episode title for a station of Canarics Radio — a 24/7 internet radio station whose two hosts are openly AI voices. Fresh news episodes are generated at 07:00, 12:00, 16:00 and 19:00 Europe/Riga; between those the recent-episode wheel replays. Human listeners stream audio at https://canarics.com/radio.

Input Schema

NameRequiredDescriptionDefault
stationYeslv = Latvian station, en = English-language international station.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already cover the read-only and closed-world safety profile, so the bar is lower. The description adds genuine context beyond them: the described return value ('current episode title'), the station's 24/7 nature, the generation schedule, and the AI-voice host disclosure — all relevant to interpreting the result.

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 core purpose is front-loaded in the first clause, followed by supporting context. It is reasonably tight, though the AI-hosts remark and streaming URL are tangential to correct invocation and slightly inflate the text.

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?

For a one-parameter read tool with no output schema, the description adequately conveys what is returned ('current episode title'), which station variants exist, and how content cycles over the day. Nothing essential to invoking it correctly is missing.

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% with a single enum parameter, so the schema already explains that 'lv' and 'en' map to the Latvian and international stations. The description adds no parameter-level detail beyond the schema, so the baseline of 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 states a specific resource and scope: 'Current episode title for a station of Canarics Radio'. This is a distinct read operation, clearly separable from the transcript and Q&A siblings. It does not, however, explicitly name or contrast with any sibling tool.

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 explicit when-to-use or when-not-to-use statement, and no alternative tools are named. The schedule details (07:00/12:00/16:00/19:00 generation, replay wheel) provide interpretation context but do not tell the agent under which conditions to call this tool versus the others.

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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