Get a download URL for a call recording audio file.
Returns {download_url, content_type, status_code, note} instead of the
binary audio stream. Fetch download_url to obtain the MP3.
| Name | Required | Description | Default |
|---|---|---|---|
| call_uuid | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description takes on the full burden and transparently discloses that the tool returns a dict with download_url, content_type, status_code, and note instead of the binary audio, and instructs to fetch download_url to obtain the MP3. It provides useful behavioral context beyond the schema.
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?
Two sentences, no filler, front-loaded with the primary purpose and followed by return details. Every sentence earns its place.
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 simple one-parameter read tool with an output schema, the description covers the purpose, return shape, and next step to obtain the audio file. It is complete enough for an agent to select and invoke correctly.
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?
The only parameter, call_uuid, is not described in the schema (0% coverage). The tool description implies it identifies the call recording, but doesn't explicitly explain its format or provenance. This partially compensates for the schema gap but could be more explicit.
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 'Get' and resource 'call recording audio file' and clarifies it returns a download URL, distinguishing it from sibling tools like call_recording_list and call_recording_delete.
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 use case: when you need a download URL for a call recording rather than the binary stream. It doesn't explicitly name alternatives or exclusion criteria, but the context is clear enough.
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.
Tools are organized by resource with a clear action suffix (create/list/get/update/delete), making most purposes distinct. However, with 122 tools, some pairs like `cdrs_list` vs `cdrs_list_all` or `ten_dlc_brand_campaigns_list` vs `ten_dlc_campaigns_list` could cause confusion without careful reading of descriptions.
All tool names follow a consistent `resource_action` snake_case pattern (e.g., `api_keys_create`, `call_control_answer`, `ten_dlc_brands_list`). Verbs are standardized across the set, with only a few exceptions like `check` or `nudge` that still fit the verb-first style. No mixed casing or inconsistent separators.
At 122 tools, this is an extremely large surface that overwhelms the typical MCP agent's ability to select the right tool. Even though the count reflects the full Wavix API, the sheer number far exceeds the 50+ threshold for 'extreme mismatch' and is impractical for most use cases.
The tool set covers a broad range of communications features: numbers, calls, messages, billing, CDRs, sub-accounts, 10DLC compliance, speech analytics, and WebRTC. Missing operations like `sub_accounts_delete` or a 2FA service management endpoint are minor gaps that can be worked around via portal or other tools, but overall lifecycle coverage is strong.
