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Search material corporate events

get_material_events
Read-onlyIdempotent

Search SEC 8-K material corporate events (bankruptcies, restatements, officer departures, delistings, cyber incidents, earnings, M&A...) normalized to item codes, with SEC filing links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax rows per page, default 50, cap 500.
sinceNoEarliest event date, YYYY-MM-DD.
untilNoLatest event date, YYYY-MM-DD.
cursorNoOpaque pagination token from the previous response's page.next_cursor; pass it back verbatim to fetch the next page.
tickersNoTicker symbols to include, e.g. ["NVDA"]. Empty = all issuers.
item_codesNo8-K item numbers, e.g. ["1.03","5.02"]. 1.03=bankruptcy, 4.02=restatement, 5.02=officer departure, 1.05=cyber incident, 2.02=earnings, 8.01=other.
high_signalNoOnly distress-grade items (1.03, 1.05, 2.04, 2.06, 3.01, 4.02, 5.02). Overrides item_codes.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint, so the safety profile is covered. The description adds useful behavioral context: results are normalized to item codes and include SEC filing links. It doesn't mention pagination or rate limits, but that's partially covered by schema.

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, information-dense sentence that front-loads the core purpose and provides useful examples without redundancy. Every phrase earns its place.

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 the moderate complexity (7 params, no output schema), the description plus the detailed schema covers the essentials. The mention of SEC filing links and event categories gives a good sense of the return payload, though fuller output details are absent.

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 the baseline is 3. The description itself repeats some item-code mappings that are already in the schema's item_codes description, and it doesn't add further semantic detail beyond what the schema provides.

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 ('Search') and resource ('SEC 8-K material corporate events') with concrete examples (bankruptcies, restatements, officer departures, etc.). It clearly differentiates from sibling tools like get_insider_trades or get_stakes.

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?

The description clearly implies this is the tool for searching 8-K material events, with event-type examples. It doesn't explicitly state when not to use it or name alternatives, but the context is clear enough for a non-exclusionary use case.

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

A4.2/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: per-form search tools (get_insider_trades, get_material_events, get_planned_sales, get_stakes), cross-feed signals (cluster_buys, planned_vs_executed, trades_before_events), and support utilities (company_profile, describe_coverage, find_company, list_recent_filings). The only slight overlap is company_profile vs. get_insider_trades, but company_profile is explicitly an aggregator that routes to detailed tools, eliminating ambiguity.

Naming Consistency4/5

Most tools follow a verb_noun pattern, especially the get_* family (get_insider_trades, get_material_events, etc.). However, three tools deviate: company_profile (noun_noun), planned_vs_executed (phrase with 'vs'), and trades_before_events (noun_phrase). These are still readable and clearly named, but they break the otherwise consistent convention.

Tool Count5/5

11 tools is well-scoped for the domain of insider trading analytics. It provides a complete set of per-filing-type search tools, cross-feed signals, and support utilities without redundancy or bloat. The count is within the ideal 5-15 range and feels justified.

Completeness5/5

The tool set covers the full lifecycle of insider data: entity resolution (find_company), orientation (describe_coverage), all major SEC forms (3/4/5, 8-K, 144, 13D/13G) via dedicated search tools, and advanced cross-feed analytics (cluster_buys, planned_vs_executed, trades_before_events). No obvious gaps are apparent for the stated purpose.

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