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Company Intelligence Tools — Zinin M2M Hub

Funding Round Tracker

funding-round-tracker
Read-only

Track recent SEC Form D filings by company name or sector keyword — the notice a company files when it raises private capital. Official SEC EDGAR full-text search, free, no API key or login. Get company, filing date and a direct document URL for every match. — $0.02/call, x402 (USDC on base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax number of filings to return per query.
queriesYesCompany names or sector keywords to watch for new Form D filings (e.g. `artificial intelligence`, `biotech`, or a specific company name). One or more filing rows per query.
sinceDaysNoOnly include filings from the last N days.
maxConcurrencyNoHow many queries to process in parallel.

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already mark the tool as read-only and non-destructive. The description adds value by disclosing it uses official SEC EDGAR full-text search, is free, and includes a per-call cost ($0.02). It does not contradict annotations and provides useful behavioral context beyond the structured fields.

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 three concise sentences plus pricing information. It front-loads the core purpose, sources, and outputs, with no wasted words. Every sentence serves a distinct purpose, making it easy for an agent to quickly understand the tool.

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 no output schema, the description adequately explains return values (company, filing date, document URL). It covers all four parameters via schema descriptions and contextualizes the queries. Minor gaps exist (e.g., no mention of pagination or empty result behavior), but the tool is simple enough that this is sufficient.

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

Parameters4/5

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

Schema coverage is 100%, so the description does not need to repeat parameter details. It adds meaning by linking the 'queries' parameter to company names or sector keywords and clarifying outputs (company, filing date, document URL) in the absence of an output schema. This contextualizes the parameters without redundancy.

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 the tool tracks SEC Form D filings by company name or sector keyword. It specifies the data source (SEC EDGAR), the outputs (company, filing date, document URL), and distinguishes itself from a sibling like 'funding-alert' by focusing on regulatory filings rather than general funding news.

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 provides context on when to use this tool (tracking recent private capital raises via Form D) and highlights its free, no-login nature. However, it does not explicitly contrast with sibling tools like 'funding-alert' or state when not to use it, leaving some ambiguity for the agent.

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

A4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but some overlap exists between company-lookup and company-registry-enricher, and between individual signal tools and composite rollups. The descriptive names help differentiate, but the boundary between one-off screenings and alert/rollup tools requires careful reading.

Naming Consistency4/5

Tool names follow a consistent pattern of hyphenated lowercase nouns (e.g., company-lookup, funding-alert, sanctions-screening). The one exception, pricing_info, uses an underscore, creating a minor deviation from the otherwise uniform naming style.

Tool Count4/5

With 20 tools, the server is on the higher end of typical scope but justified for a comprehensive company intelligence bundle. Each tool covers a distinct or complementary aspect of company research, so the count feels purposeful rather than bloated.

Completeness5/5

The toolset covers company lookup, registry, hiring, funding, sanctions, litigation, patents, contacts, new company detection, and email verification—a broad and well-rounded surface for due diligence and sales intelligence. Composite tools like intent-signal-aggregator and lead-list-qualifier tie these together effectively, leaving no major dead ends.

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