Skip to main content
Glama

Recent SEC Filings

equities_filings
Read-onlyIdempotent

Live SEC EDGAR submissions API: most recent filings (10-K, 10-Q, 8-K, ...) for a ticker or CIK. Filter by form type.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cikNoSEC CIK. Either ticker or cik is required.
formsNoOptional comma-separated form types, e.g. '10-K,10-Q'.
limitNo
tickerNoStock ticker. Either ticker or cik is required.

TDQS

A4.2/5.0
Behavior3/5

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

Annotations already cover readOnlyHint, idempotentHint, openWorldHint, and destructiveHint, so the safety profile is fully transparent. The description adds the 'live' nature and the focus on 'most recent' filings, which is helpful, but it does not disclose response shape, pagination, or rate-limit behavior. This is acceptable given the strong annotation coverage but not exceptional.

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 a single, information-dense sentence that front-loads the core behavior and then adds the key filtering capability. No wasted words.

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?

For a simple read-only tool with four parameters and no nested output schema, the description plus annotations cover the essential invocation context. The main gap is the absence of any hint about the response format, but the tool's simplicity and strong annotations make this a minor omission.

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-description coverage is 75%, and the description adds relationships that the schema does not: 'for a ticker or CIK' clarifies the mutual-exclusivity between cik and ticker, and 'filter by form type' maps directly to the forms parameter. This goes beyond simply restating the schema fields.

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 states a specific action and resource: it returns live SEC EDGAR submissions (10-K, 10-Q, 8-K, ...) for a ticker or CIK, with optional form-type filtering. This makes its purpose unmistakable and distinguishes it from sibling tools like equities_fundamentals and equities_ticker.

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 when to use this tool: when you need recent SEC filing data for a company identified by ticker or CIK, and optionally filtered by form type. It does not explicitly name alternative tools or exclusion criteria, but the use case is specific enough for an agent to route correctly.

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

B3.2/5.0
Disambiguation2/5

Multiple tools have genuinely blurry boundaries: company_change vs company_changes differ only by singular/plural yet serve different purposes, company_domain vs company_classify vs company_lookup_auto all accept a domain, geo_zip_lookup vs geo_enrich vs geo_zip_batch all return ZIP profiles, and email_validate subsumes much of email_disposable and email_free_provider. The domain prefixes help narrow search space, but within many domains an agent cannot reliably predict which tool is the right one.

Naming Consistency4/5

All 129 tools uniformly follow a snake_case [domain]_[topic] convention (company_, fx_, geo_, dns_, weather_, tax_), which is highly predictable and consistent. Minor deviations include the confusing company_change/company_changes pair, and inconsistent suffix usage (_batch appears on address_validate_batch, company_domains_batch, geo_zip_batch but not on equivalent lookup tools elsewhere).

Tool Count1/5

129 tools far exceeds the 50+ extreem-mismatch threshold, bundling roughly 28 unrelated data domains (weather, fx, tax, ccompany, dns, jobs, flight, email, phone, tax...) into a single MCP surface. Even focusing on one domain forces the agent to load an enormous unrelated tool list; this should be split into many smaller domain-specific servers.

Completeness4/5

Per-domain coverage is impressively thorough: weather spans current/forecast/hourly/historical/normals/marine/route/air-quality, fx covers rates/convert/historical/volatility/correlation/strenth, and company includes lookup/enrichment/networks/timeline/peer-comparison plus six buyer-tuned signals with profile-introspection tools. Minor gaps like flight being historical-only and smtp probes skipping major email providers are documented scope decisions rather than dead ends.

Resources