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synergy

Synergy edgar_financials

edgar_financials

SEC EDGAR company fundamentals: latest annual and quarterly revenue, net income and total assets from the official data.sec.gov XBRL companyconcept API (keyless deterministic lookup by ticker or CIK, with provenance). Price: 0.01 USDC per call (x402, Base). Resource: https://api.exo-trust.com/execute/edgar_financials. Returns the payment challenge unless already settled.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cikNoSEC Central Index Key, 1..10 digits, e.g. 320193 (alternative to ticker).
tickerNoUS-exchange-listed equity ticker, e.g. AAPL or BRK.B (preferred).

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

The description usefully mentions keyless deterministic lookup, provenance, and the payment challenge. However, it does not clarify expected outputs, errors, side effects, or what the payment challenge means in practice, leaving significant behavioral ambiguity.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The opening sentence is focused and informative, but the description then shifts into price and resource fragments followed by an unclear payment-challenge sentence. The structure is somewhat disjointed and could be tightened.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no required-parameter indication, the description leaves important gaps: whether both parameters can be omitted, what the response format is, and what the payment challenge implies for successful use. Sibling tool differentiation is also missing.

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?

The input schema already covers both parameters with descriptions and examples, so the description adds little beyond what is provided in the schema. It reinforces ticker preference but does not explain precedence, mutual exclusivity, or fallback behavior.

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 core purpose is clear: it retrieves SEC EDGAR company fundamentals such as revenue, net income, and total assets by ticker or CIK. However, the description lacks an explicit verb and the later payment-challenge sentence slightly muddies the primary purpose.

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

Usage Guidelines2/5

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

There is no explicit guidance on when to use this tool versus the sibling edgar_report or other tools. It does not state whether at least one of ticker or cik is required, and it gives no direction on choosing between them beyond the schema's 'preferred' note.

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

B3.1/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but edgar_financials and edgar_report overlap heavily, with the report apparently building on the same financial data. The three registry lookups (sanctions, VAT, LEI) are distinct, and the text-processing tools are separable.

Naming Consistency2/5

Naming is inconsistent: some tools use bare verbs (classify, extract, proofread, rewrite, summarize, translate), some use verb_noun (check_sanctions, lookup_lei, validate_vat, code_explain), and others use domain-based names (clinical_dd, edgar_financials, edgar_report, synergy_discovery). No single consistent convention is applied.

Tool Count4/5

14 tools is within the reasonable range and each covers a distinct specialist area, but the set feels slightly broad and includes a few near-duplicates (edgar_financials vs edgar_report). It is not excessive, though tightening could improve focus.

Completeness4/5

The catalog covers a wide range of domains: sanctions, VAT, LEI, SEC filings, clinical trials, code analysis, text transformation, and discovery. It includes a discovery tool to enumerate specialists, which helps. Minor gaps like missing update/delete-style operations are not expected for a read-only specialist API, so coverage is strong.

Resources