Skip to main content
Glama

SEC Filing Watcher

sec-edgar-watcher
Read-only

Watch stock tickers for new SEC filings — 10-K, 10-Q, 8-K, S-1 and more. Official SEC EDGAR data, free, no API key or login. Filter by form type and lookback window; get form, filing date and a direct document URL for every match. — $0.01/call, x402 (USDC on base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickersYesStock tickers to watch for new SEC filings (e.g. `AAPL`, `TSLA`, `NVDA`). One row per ticker.
formTypesNoOnly include these SEC form types (e.g. `10-K`, `8-K`, `S-1`). Leave empty to include every form type.
sinceDaysNoOnly include filings from the last N days.
maxConcurrencyNoHow many tickers to process in parallel. SEC EDGAR's documented rate limit is 10 requests/second — keep this at or below 10.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds valuable context: official data source, no API key/login required, output includes form/filing date/direct URL, and a per-call price. This complements rather than contradicts the annotations.

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?

Three tight sentences plus a price tag. Each clause adds value: purpose, source/auth, filtering/output, and cost. No redundancy or fluff.

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 4 parameters and no output schema, the description covers purpose, source, output fields (form, filing date, direct URL), and constraints (lookback, filter). Combined with the schema's per-parameter details, it is sufficient for an agent to invoke and interpret results. Minor omissions like result ordering or empty-result 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 coverage is 100% with every parameter described, so the baseline is 3. The description mentions 'Filter by form type and lookback window' (mapping to formTypes and sinceDays) but adds no new semantic details beyond what the schema already 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 ('Watch') with a clear resource ('stock tickers for new SEC filings'), enumerates form types (10-K, 10-Q, 8-K, S-1), and notes the official SEC EDGAR source. It clearly distinguishes itself from sibling tools like live-price-oracle or insider-trading-tracker by focusing on SEC filings.

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 provides clear context for when to use: monitoring SEC filings, with free no-login access and filtering by form type and lookback window. It does not explicitly name alternative tools to avoid, but the domain is so sharply defined that usage is unambiguous.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.4/5.0
Disambiguation3/5

Many tools are distinct by region/source (e.g., otodom-warsaw vs. imovirtual-lisbon), but there are overlapping categories: multiple real estate, job, SEC, and crypto tools. Watchers/alerts (job-alert, re-new-listing-alert, tender-alert) could be confused with their corresponding search tools, and token tools (live-price-oracle, token-launch-radar, rug-pull-scorer) have similar purposes.

Naming Consistency2/5

Names follow no consistent pattern: some are hyphenated source-location (emlakjet-istanbul), some are generic descriptors (job-alert, pricing_info uses underscore), and some are verbose phrases (official-gazette-regulatory-action-router). There is no consistent verb_noun or noun structure, making it hard to predict what a tool does from its name.

Tool Count2/5

With 36 tools, the server is in the 'too many' range (25+). The broad 'Market Data' theme partially justifies the count, but it feels bloated with many single-country listings and overlapping watchers that could be consolidated.

Completeness3/5

The domain is loosely defined as 'market data,' spanning real estate, jobs, tenders, SEC filings, crypto, and clinical trials. While it covers niche areas well, there are notable gaps: no general stock/ETF quotes, no forex/commodities data, and no cross-country aggregate search. The mix of scrapers and alerts leaves the surface feeling uneven.

Resources