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Josh-E-S
by Josh-E-S

list_history_participants

Read-onlyIdempotent

Retrieve historical participant call records with filters for time range, conference, direction, quality, protocol, disconnect reason, location, and service tag. Supports pagination to limit results.

Instructions

List completed participant call legs (CDR-like records).

Time bounds apply to participant.start_time. All times are UTC ISO 8601.

Args: start_time: Lower bound (inclusive) on start_time. end_time: Upper bound (exclusive) on start_time. conference_name: Restrict to one conference name (string, not id). call_direction: "in" / "out". call_quality: "1_good" / "2_ok" / "3_bad" / "4_terrible". protocol: "sip" / "h323" / "mssip" / "webrtc" / "rtmp" / "teams" / etc. disconnect_reason: e.g. "Call disconnected", "Call failed", "Call rejected". location: system_location id or exact name. service_tag: Filter by tag carried from the parent conference. limit, offset, fetch_all: Pagination. fetch_all caps at 10,000.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo
end_timeNo
locationNo
protocolNo
fetch_allNo
start_timeNo
service_tagNo
call_qualityNo
call_directionNo
conference_nameNo
disconnect_reasonNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint, and idempotentHint, covering safety. The description adds behavioral details: pagination cap at 10,000, UTC ISO 8601 time format, and filter specifics. No contradictions.

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 extremely concise yet comprehensive: a one-line summary followed by a list of parameter explanations. Every sentence adds value, with no redundancy.

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?

Given 12 parameters, output schema exists, and no nested objects, the description covers input semantics thoroughly. It could optionally define 'CDR-like records' more precisely, but overall complete for agent invocation.

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

Parameters5/5

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

With 0% schema description coverage, the description fully compensates by explaining each parameter's meaning, format, and acceptable values (e.g., call_quality options). This provides essential context beyond 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?

The description clearly states 'List completed participant call legs (CDR-like records)', specifying the resource and action. It distinguishes from siblings like 'get_history_participant' and 'list_active_participants' by focusing on completed calls.

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 implies usage for historical data via time bounds and filters but lacks explicit when-to-use vs alternatives. No mention of when not to use or comparisons with other list tools.

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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