get_play_link
Build a tracked deep link to play a frequency set in the free KYMA369 web app.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Frequency UUID |
Build a tracked deep link to play a frequency set in the free KYMA369 web app.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Frequency UUID |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It conveys that the operation is constructive — building a link, not mutating data — and adds context that the link is "tracked" and targets the "free" web app. However, it does not disclose whether the UUID is validated, how invalid input surfaces, or what the returned link looks like.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single 17-word sentence where every word earns its place — "tracked", "deep link", "play", "frequency set", and "free KYMA369 web app" all carry distinct information. The action verb is front-loaded and there is zero filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter tool with no output schema and no nested objects, the description covers the core purpose adequately. The exact return value (the deep link's format) and error behavior are left implicit, but "build a tracked deep link" strongly implies the output, so these are minor gaps for a simple tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the single parameter is already documented as a "Frequency UUID" and the baseline of 3 applies. The description adds a small amount of context by linking the id to a "frequency set", but no further semantic detail about the parameter is provided beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb "Build" with a concrete resource — "a tracked deep link to play a frequency set" — and scopes it to the free KYMA369 web app. None of the sibling tools (get_frequency, get_hz_page, search_frequencies) construct links, so this tool is readily distinguishable.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool is used when a tracked, playable deep link is needed, but it never states when to choose this tool versus alternatives such as get_hz_page or get_frequency. Usage context is inferred from the purpose rather than explicitly guided, and no exclusions or alternatives are named.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool maps to a mostly distinct action: fetching exact frequency sets, searching, building play links, checking hardware requirements, and listing guides. Minor overlap exists between get_frequency and get_play_link since get_frequency already returns a play link, but descriptions clarify the different entry points.
Most names follow a clear verb_noun pattern: compare_frequencies, get_frequency, get_hz_page, get_play_link, list_healing_guides, list_popular, search_content, search_frequencies. A few exceptions like about_kyma and headphones_or_pemf break the pattern slightly but are still readable and predictable.
Ten tools is well-scoped for a frequency wellness content server. Each tool serves a distinct part of the user journey: product awareness, research, search, frequency lookup, playback, and hardware guidance.
The surface covers the core read-only workflows well: discovering frequencies, looking up canonical pages, comparing options, getting playback links, and finding healing guides. A minor gap is the lack of a dedicated tool for fetching a full healing guide body, but search/list results include URLs and summaries, so agents can still work around it.