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Signal Nodus SEC Filings

CFTC futures positioning

cftc_positioning
Read-only

Experimental (outside the core SEC path; not covered by the published accuracy eval, may change or be withdrawn): Weekly Commitments of Traders positioning for a futures contract: non-commercial (speculative) and commercial (hedging) longs, shorts and net, net as a share of open interest, and the week-over-week changes. Match by contract name fragment such as CRUDE OIL, WHEAT, GOLD or S&P 500. The disclosed record only, no forecast. Costs $0.05 per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
weeksNoWeeks of history per contract, max 26. Default 4.
marketYesContract name fragment, e.g. CRUDE OIL, WHEAT, GOLD, COPPER, S&P 500.

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, but the description adds valuable behavioral context beyond these: it is 'Experimental (may change or be withdrawn),' it 'costs $0.05 per call,' and it discloses 'the disclosed record only, no forecast.' These details warn the agent about volatility and cost, which are not captured in annotations. No contradiction with annotations; it complements them.

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 description is moderately long and front-loads an 'Experimental' parenthetical that, while important, adds verbosity before the core purpose. The structure is clear (purpose, matching, cost) but could be tightened by moving the experimental note to a single clause. Every sentence has a purpose, but the opening is heavier than necessary.

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 read-only data retrieval tool with no output schema, the description thoroughly explains what is returned (longs, shorts, net, share of open interest, changes), the matching rule, limitations (no forecast, disclosed record only), and the cost. It also flags experimental status. The agent has enough to call it correctly without missing critical expectations, though pagination or response format are not detailed—minor given the tool's simplicity.

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% for both parameters; the schema already explains 'weeks' with max/default and 'market' as a contract name fragment with examples. The description reiterates the matching-by-fragment behavior and gives the same examples, adding no novel semantic information. Since the schema handles parameter meaning well, a baseline score of 3 is appropriate; the description does not compensate for any gaps because none exist.

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 explicitly states the tool provides Weekly Commitments of Traders positioning, listing the exact metrics (non-commercial/commercial longs, shorts, net, share of open interest, week-over-week changes). It clarifies matching by contract name fragment, which distinguishes it from sibling tools like crop_data or energy_data that cover other data domains. The verb 'provides' and resource ('CFTC futures positioning') are specific and unambiguous.

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 when to use it (when CFTC futures positioning data is needed) and even gives matching examples, but it does not explicitly mention alternatives or exclusions. It only notes it is 'outside the core SEC path,' which hints at scope but does not name sibling tools or state when not to use it. For an agent, the domain is clear, but guidance on selection among siblings is absent.

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

A3.5/5.0
Disambiguation3/5

Most tools have clearly written descriptions, but several pairs overlap semantically: token_price/token_report, latest_filings/recent_filings, and institutional_holdings/who_holds/activist_stakes all require careful reading to pick the right one. The overlap is not severe enough for a 2, but it is still more than the occasional confusion.

Naming Consistency3/5

Names are consistently snake_case and mostly descriptive, but the set does not follow one naming convention. It mixes noun phrases (crop_data, token_report, insider_trades) with verb phrases (lookup_company, compare_filings, verify_financial_claim), and pairs like latest_filings/recent_filings create avoidable confusion.

Tool Count2/5

31 tools is too many for what is nominally an SEC Filings server, and the scope sprawls into unrelated domains such as EVM gas, tokens, prediction markets, crop data, and x402 auditing. The count does not feel earned by a coherent workflow; it feels like an uncurated bundle of endpoints.

Completeness3/5

The SEC filing workflow is reasonably covered: company lookup, search, latest/recent filings, section extraction, 8-K events, comparisons, ownership filings, and XBRL financial checks are all present. However, there is no full-filing retrieval endpoint, no deep company financial history beyond a single concept, and many non-SEC subdomains are only one-off data points, so the overall surface is still incomplete.