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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

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false. The description adds valuable context beyond these: it names the official data source (SEC EDGAR), notes there is no login requirement, and specifies the returned fields. No contradiction with annotations exists, and the additional behavior is appropriately disclosed.

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 concise and front-loaded with the core action. Each sentence serves a purpose: the first explains what it tracks, the second emphasizes the official source and low friction, the third lists outputs, and the final provides cost/payment. Though the pricing fragment is somewhat tangential, it is brief and does not bloat the description.

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?

With no output schema, the description sufficiently explains return values ('company, filing date and a direct document URL for every match'). Parameters are fully covered by the input schema. The tool is simple and read-only, and the description plus annotations provide adequate context for an agent to select and invoke it correctly. Minor gaps like error handling or no-results behavior are not critical.

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 description coverage is 100%, so the baseline is 3. The description reinforces the queries parameter semantics with 'by company name or sector keyword', but this largely duplicates the schema description already present. It adds no extra meaning for limit, sinceDays, or maxConcurrency, which are all well-documented in the schema.

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 opens with a specific verb ('Track') and a precise resource ('recent SEC Form D filings') scoped by 'company name or sector keyword'. It also distinguishes itself from siblings by specifying 'Official SEC EDGAR full-text search' and the exact output (company, filing date, document URL), making its purpose unmistakable.

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 clear context for when to use this tool: when tracking recent Form D filings by company or sector. It states it is free and requires no API key or login, which sets expectations. However, it does not explicitly mention alternatives or exclusions, so it falls short of a 5.

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

A3.8/5.0
Disambiguation3/5

Several tools overlap in signal space: hiring-radar, hiring-trend-index, layoff-tracker, and intent-signal-aggregator all touch hiring; funding-alert vs funding-round-tracker, sanctions-screening vs sanctions-update-alert, and rollup tools vs individual checks create boundary ambiguity. However, each has a distinct output format, so descriptions help.

Naming Consistency4/5

Tool names are consistently lowercase with hyphens and descriptive noun phrases (e.g., company-hiring-radar, litigation-check), but pricing_info breaks the pattern with snake_case and a non-descriptive name.

Tool Count3/5

With 20 tools, the server feels heavy and covers a wide range of premium data services, but each tool does target a distinct data source or workflow, so it's borderline rather than excessive.

Completeness4/5

The surface covers company identity, hiring, litigation, sanctions, funding, and patents well, but lacks direct financials, ownership structure, and general news monitoring beyond funding/layoffs, leaving some sales-intelligence gaps.

Resources