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SEC Fundamentals (XBRL)

equities_fundamentals
Read-onlyIdempotent

Headline financial statements parsed from SEC XBRL filings: revenue, net income, total assets, EPS, cash flow, and 30 more curated tags. Annual (10-K) or quarterly (10-Q). Free — backed by SEC's public XBRL companyfacts API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
periodNoannual
tickerYesStock ticker.

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already cover the read-only, idempotent, non-destructive profile, so the description only needs to add context. It adds the SEC XBRL companyfacts API as the source and notes the tool is free, which is useful. However, it does not discuss data limitations, units, or the shape of returned periods, leaving a moderate gap.

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?

Two compact sentences with no filler. The action and resource are front-loaded, the key metrics are listed in a readable series, and period selection plus free/source context are added efficiently. Every clause 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?

For a simple read-only tool with strong annotations, the description plus schema defaults and enums provide enough to call it correctly. The absence of an output schema is mitigated by the metric list, though minor ambiguity around 'limit' and return structure remains.

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 only 33%, so the description partially compensates by explaining period values (annual = 10-K, quarterly = 10-Q) and listing the kind of metrics returned. It does not clarify the meaning of 'limit' (e.g., number of periods vs. number of tags) or ticker formatting, so parameter understanding is incomplete.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('parsed from SEC XBRL filings') and a specific resource (headline financial statements), listing concrete metrics and the annual/quarterly distinction. It is clear and actionable, though it does not explicitly distinguish itself from sibling tools like equities_filings or equities_concept.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool is for summary fundamentals via 'headline financial statements' and 'curated tags,' but it never states when to use it over alternatives or when not to use it. There is no mention of sibling tools or exclusions, leaving the agent to infer routing.

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

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.

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