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Resume the podcast after the automatic pause

resume_podcast
Idempotent

The podcast pauses itself when nobody listens for a while (no episodes get made; the setting podcast_enabled stays true). This lifts the pause: from tomorrow the episode comes back every morning. get_information_diet and get_account say whether it is paused.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
Behavior5/5

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

Adds substantial context beyond the annotations: it explains that the pause leaves podcast_enabled set to true, and critically that resumption is not immediate but takes effect 'from tomorrow.' The delayed-effect timing is genuinely decision-relevant and not derivable from the structured fields, complementing the idempotentHint.

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?

Three sentences, front-loaded with the mechanism of the pause before stating the effect and how to check status. The parenthetical adds useful precision rather than waste, though the passage is slightly dense.

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 parameterless action tool with no output schema and simple annotations, the description is nearly complete: it explains the trigger, the setting that stays true, the delayed effect, and how to verify state. Only minor gaps remain (e.g., behavior when already active), which idempotentHint largely covers.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a no-parameter tool is 4. No parameter concerns exist.

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 (resume / 'lifts the pause') and resource (the podcast), and explains the non-obvious nature of the pause (automatic, triggered by inactivity) so the agent understands what is actually being resumed. It is clearly distinguishable from siblings like get_information_diet and get_account, which only report status.

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?

Clearly directs the agent to get_information_diet and get_account to determine whether the podcast is paused, implying the precondition for use. It does not, however, name an explicit alternative to resume_podcast or state when not to call it, so it falls short of full when/when-not guidance.

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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