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pghdma

CallRail MCP

get_call_transcript

Retrieve AI-generated transcripts of recorded calls by providing a call ID. Requires CallRail Conversation Intelligence enabled for transcript access.

Instructions

Get the AI transcript for a call (requires CallRail Conversation Intelligence).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
call_idYes
account_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It reveals the prerequisite but omits details like side effects (presumably none), permission requirements, or error behavior if the feature is not enabled.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, focused sentence that conveys the core purpose and a critical requirement. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has two parameters and a prerequisite, the description is too minimal. It lacks guidance on how to provide parameters, what happens if the prerequisite is unmet, and expected output beyond what the output schema may reveal.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description does not explain either parameter (call_id or account_id). The schema has 0% description coverage, so the description fails to add any meaning to the structured input schema.

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 clearly states the action ('Get') and the resource ('AI transcript for a call'), which is specific and informative. It does not explicitly differentiate from sibling tools like get_call or call_summary, but the phrase 'AI transcript' implies a distinct purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions a prerequisite ('requires CallRail Conversation Intelligence'), which provides context for when to use the tool. However, it does not specify when not to use it or suggest alternatives.

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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