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ipo-calendar

Retrieve live IPO calendar from Nasdaq with upcoming deals, recent pricings, new filings, and withdrawn offerings. Includes company details, price range, share count, and offer amount.

Instructions

Returns live IPO calendar from Nasdaq — upcoming deals with expected pricing dates, recently priced offerings, new S-1 filings, and withdrawn deals. Covers all major US exchanges. Includes company name, ticker, exchange, price range, share count, and total offer amount. Structured extraction WITH summary analytics AND deal counts — richer than raw scraped calendars. Use section='upcoming' for near-term deal flow, section='priced' for post-IPO watchlist setup, section='all' for complete week view.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sectionNoCalendar section to return. 'upcoming' = deals pricing this week; 'priced' = recently priced IPOs; 'filed' = new S-1 registrations; 'withdrawn' = cancelled deals; 'all' = all sections.
limitNoMaximum results per section.
Behavior2/5

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

No annotations provided, so description must disclose behavioral traits. It mentions 'live' and structured extraction but omits data freshness, rate limits, authentication needs, or limitations. Agent cannot anticipate behavior beyond basic read operation.

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?

Single paragraph, efficient sentences, no redundancy. Front-loaded with purpose, followed by details and usage guidance. Every sentence adds value.

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?

Covers purpose, parameters, usage, and data fields. Without output schema, description could include sample output or explain limit parameter behavior. Still sufficient for typical use.

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 describes both parameters (section, limit) with coverage 100%. Description adds usage context for sections, but does not significantly extend beyond schema. Baseline 3 appropriate.

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?

Description clearly states the tool returns live IPO calendar data from Nasdaq, specifying categories (upcoming, priced, filed, withdrawn) and data fields. It distinguishes from other calendar tools with structured extraction and analytics, making purpose unambiguous.

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 specific guidance on when to use different section values ('upcoming' for near-term deal flow, 'priced' for watchlist setup, 'all' for complete view). However, no explicit exclusions or alternatives mentioned.

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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