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Investor Relations News

GetInvestorRelationsNews
Read-only

Get recent investor-relations press releases for a stock, scraped from the company's IR website. Returns the most recent news items (headline, publish date, summary when the source provides one, and link) in reverse-chronological order. Use this to see a company's latest official announcements straight from its IR page, distinct from third-party news. Coverage is partial — only companies whose IR page has been discovered and content-scraped have items, so an empty answer may be a coverage gap rather than corporate silence; the response says which case applies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sinceNoOptional earliest publish date, strict yyyy-MM-dd (UTC). Only items published on or after this date are returned.
tickerYesCompany ticker symbol (e.g., NVDA)
maxResultsNoMaximum number of news items to return (default: 20, max: 500)

TDQS

A4.5/5.0
Behavior5/5

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

The annotations already declare readOnlyHint=true and destructiveHint=false. The description goes beyond by detailing the return structure (headline, publish date, summary, link), reverse-chronological order, and crucially the partial coverage caveat that an empty result may be a coverage gap, with the response indicating which case. No contradiction.

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 about four sentences, all substantive: main purpose, return format, usage guidance, coverage caveat. No fluff.

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 simple read-only list tool with no output schema, the description covers what the tool returns, ordering, and the important edge case of empty results. Combined with the schema and annotations, the user has enough to select and invoke the tool correctly.

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%, with clear descriptions for 'since' and 'maxResults'. The description doesn't add additional parameter semantics beyond the schema, so baseline 3.

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 uses a specific verb ('Get') and resource ('investor-relations press releases... from the company's IR website'), clearly distinguishing this from sibling tools like GetInvestorRelationsEvents and third-party news sources.

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?

It explicitly tells the user when to use it: 'Use this to see a company's latest official announcements straight from its IR page, and notes it is 'distinct from third-party news.' However, it doesn't name specific alternative tools or exclusion cases, so a 4.

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.