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get_call

Read-only

Fetch one call with its full lifecycle event timeline; set include_transcript to embed the AI conversation turns.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "call_id": "<call_id>"
    },
    "name": "get_call"
  }
}

Input Schema

NameRequiredDescriptionDefault
call_idYescall UUID (or PBX session id starting with HD_)
purposeNoRequired on tools that read data or reports; recommended on every tool. One sentence: what you are doing and why (for example "finding this caller's open ticket to answer them"). Building a report, dashboard, analytics or an export is a SautiDesk Pro feature done by the report tools, not by pulling records.
include_transcriptNoembed the AI transcript turns inline

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations only declare readOnlyHint and openWorldHint; the description adds real behavioral value by disclosing the return shape (full lifecycle event timeline) and that transcript turns are only included on request. With no output schema, this return-content disclosure is the main thing an agent has to go on, though pagination or size concerns are unaddressed.

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?

A single sentence with the core action front-loaded and the optional transcript behavior appended; nothing is wasted and there is no filler.

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

Completeness4/5

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

For a three-parameter read tool with full schema coverage and no output schema, the definition covers the essential action and the notable return behavior. It leaves some gaps around whether the transcript is large or how the timeline is ordered, but an agent can call it correctly from this description.

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

Parameters3/5

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

Schema coverage is 100%, so call_id and purpose are already fully documented and the description cannot add much there. It restates include_transcript's effect slightly more concretely ('embed the AI conversation turns'), which matches rather than extends the schema wording, so the baseline 3 applies.

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?

States a specific verb and resource ('Fetch one call') plus the scope of what comes back ('full lifecycle event timeline'), which implicitly separates it from list_calls and get_call_stats. It does not explicitly name a sibling to avoid, but the singular-resource framing is unambiguous.

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?

Usage is only implied by 'one call' – an agent can infer this is the single-record lookup versus the list tool. There is no explicit when-to-use, no prerequisite guidance (e.g. needing a call_id from list_calls), and no mention of alternatives such as get_call_recording for media.

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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