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Investor Event Transcript

GetInvestorEventTranscript
Read-only

Get the speaker-labelled transcript of a specific investor event (earnings call, conference, investor day) by its event id — every speaker turn in order, attributed to the real person (executive or analyst) with their role when the resolution is trusted; unverified voices show as a role label (e.g. Operator) or a neutral speaker number. Get the event id from ListInvestorEvents. Use this for conferences and other non-earnings events, which have no fiscal quarter to key on.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of speaker turns to return (default 50, max 200; values outside 1-200 are clamped)
offsetNoNumber of leading speaker turns to skip, for paging through events longer than the 200-turn cap (default 0)
eventIdYesThe investor event id (from ListInvestorEvents)

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds valuable behavioral context about speaker resolution: 'every speaker turn in order, attributed to the real person... when the resolution is trusted; unverified voices show as a role label... or a neutral speaker number.' This explains the output's trustworthiness and fallback behavior, which is beyond the annotation. A 4 is appropriate because it enriches understanding without redundancy.

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

Conciseness4/5

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

The description is compact and front-loaded: it starts with the core function, then details output attributes, then gives usage context. Each clause carries useful information—no filler. It is slightly dense due to the speaker-resolution details, but that is directly relevant to the tool's purpose. Overall, it is well-structured for its length.

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 read-only tool with one required parameter and well-documented schema, the description covers the output format (speaker turns, attribution), the source of the id, and the scope (non-earnings events). It does not discuss error cases or edge behavior, but those are not critical given the read-only nature and existing pagination notes in the schema. The tool is sufficiently contextualized among its siblings.

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%: each parameter (eventId, limit, offset) has a description, including the clamping range for limit and paging purpose for offset. The description only adds a sourcing hint for eventId ('Get the event id from ListInvestorEvents'), which already appears in the schema's eventId description. Since the schema does the heavy lifting, the description adds little extra meaning, so baseline 3 is correct.

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 states a specific verb ('Get'), a clear resource ('speaker-labelled transcript of a specific investor event'), and the means of identification ('by its event id'). It explicitly contrasts with earnings calls, distinguishing it from the sibling GetEarningsCallTranscript, so an agent can immediately tell them apart without reading schemas.

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

Usage Guidelines5/5

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

The description gives explicit guidance: 'Use this for conferences and other non-earnings events, which have no fiscal quarter to key on,' which tells when to use this tool and implies when not to (earnings calls). It also directs the agent to obtain the event id from ListInvestorEvents, providing a clear prerequisite. This is nearly complete usage guidance.

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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TDQS

B3.4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, with detailed descriptions that cross-reference related alternatives. A few near-duplicate names could cause misselection, notably SearchDocument versus SearchDocuments and GetCftcPositioning versus GetLatestCftcPositioning.

Naming Consistency5/5

Tool names consistently follow a VerbNoun camelCase pattern: Get for retrievals, Search for discovery, List/Read for document access, and Add/Close/Remove/Update/Watch/Create/Delete for portfolio mutations. Despite the large count, there is no mixing of naming conventions or unpredictable verb styles.

Tool Count1/5

108 tools is an extreme surface area, far beyond the 3-15 well-scoped range and well past the 25+ threshold. Even for a broad financial data platform, this creates a heavy selection burden and substantial context overhead for agents.

Completeness4/5

The server covers an unusually wide domain: prices, fundamentals, SEC filings, options, insider activity, 13F holdings, short interest, macro data, funds, IPOs, and full portfolio lifecycle management. Notable gaps remain, such as a basic company profile/ticker-resolution tool, dividend history, and analyst estimates, so it is not a perfect 5.