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Get call details

get_call
Read-only

Retrieve a specific call by ID, choosing from summary metadata, transcript, analysis, or full details. Use the narrowest view to get the needed information.

Instructions

Get one call by id. The 'view' parameter controls how much is returned: 'summary' (default) is metadata only; 'transcript' adds the conversation turns; 'analysis' adds Ringg's platform analysis and any custom client analysis; 'full' returns everything. Prefer the narrowest view that answers the question - transcripts and analysis payloads can be large. Recording URLs expire 24 hours after the call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
viewNosummary | transcript | analysis | full. Defaults to summary.summary
call_idYesThe call UUID, as returned by list_calls.
Install Server

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already mark the operation as read-only, and the description goes beyond them by explaining view behavior, defaults, and the 24-hour expiration of recording URLs. This adds meaningful context about response scope and data freshness.

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?

Well-structured, front-loaded purpose, and every sentence adds value. The view explanation, usage guidance, and expiration warning are all relevant and efficiently written.

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

Completeness5/5

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

For a two-parameter read-only tool, the description covers invocation, parameter semantics, output scope, and a key data-freshness concern. No output schema exists, but the view descriptions sufficiently describe what is returned.

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?

Schema coverage is 100%, so the schema documents both parameters, but the description enriches the view enum with concrete meanings (metadata, turns, analysis, full) and advises on size trade-offs. This is more than a bare restatement of the schema.

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 the exact operation ('Get one call by id') and clearly differentiates itself from list_calls by focusing on a single call. The view parameter is explained precisely, making the tool's purpose unmistakable.

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?

Provides explicit guidance on selecting the narrowest view and warns about large transcript/analysis payloads. It does not explicitly contrast with sibling tools like list_calls, but the 'by id' phrasing makes the primary use case clear.

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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