mirlo_get_call_transcript
Retrieve an AI-generated transcript for a phone call by providing the call UUID.
Instructions
Get the AI-generated transcript of a phone call.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| call_id | Yes | Call UUID |
Retrieve an AI-generated transcript for a phone call by providing the call UUID.
Get the AI-generated transcript of a phone call.
| Name | Required | Description | Default |
|---|---|---|---|
| call_id | Yes | Call UUID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It only states the basic operation without disclosing behavioral traits like read-only nature, authentication requirements, or any side effects. It is minimally informative for behavioral transparency.
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?
The description is a single sentence that front-loads the verb and resource. Every word is necessary, with no wasted information.
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 tool with one required parameter and no output schema, the description is adequate but fails to hint at the return format (e.g., plain text, JSON). It leaves some ambiguity about what exactly is returned.
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%: the single parameter 'call_id' is already described as 'Call UUID' in the input schema. The description adds no further meaning, so baseline score of 3 is appropriate.
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 specific verb 'Get' and resource 'AI-generated transcript of a phone call', clearly distinguishing from sibling tools like mirlo_list_calls (lists calls) or mirlo_get_contact (gets a contact).
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 when to use (to get a transcript) but provides no when-not or alternative guidance. It's clear enough for a simple read operation, but lacks explicit exclusions or context for sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/MirloLLC/mirlo-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server