Skip to main content
Glama

Latest CFTC Positioning Snapshot

GetLatestCftcPositioning
Read-only

Retrieve CFTC Commitments of Traders positioning by category to compare commercial and non-commercial net futures positions for market analysis.

Instructions

Get the latest COT positioning snapshot across all tracked futures contracts, grouped by category (Agriculture, Energy, Metals, Equity Indices, Interest Rates, Currencies). Shows commercial and non-commercial net positions in contract counts from the legacy futures-only COT report (positions as of each Tuesday, published Friday). Each row carries the market code accepted by GetCftcPositioning.

Input Schema

NameRequiredDescriptionDefault
categoryNoCategory filter: Agriculture, Energy, Metals, EquityIndices, InterestRates, Currencies (defaults to all)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior4/5

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

Annotations only declare readOnlyHint=true, so the description carries the rest and does so well: it names the data source (legacy futures-only COT report), the reporting cadence (positions as of each Tuesday, published Friday), and the content (commercial and non-commercial net positions in contract counts). This is real behavioral context beyond the safety hint, missing only return/pagination details.

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

Conciseness4/5

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

Three tight sentences with no filler, front-loading the core purpose before the data-source and timing details. The category enumeration is slightly redundant with the schema but does not bloat the text.

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 no output schema, the description covers the essentials an agent needs: one-row-per-market semantics, the fields shown, the reporting window, and the cross-reference to GetCftcPositioning. Missing only return-format specifics, but sufficient for a simple read-only snapshot tool.

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%, so the schema already documents the single optional category parameter, making the baseline 3. The description repeats the category list but does not add filtering syntax or notes beyond what the schema provides (and spells 'Equity Indices' differently from the schema's 'EquityIndices').

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?

States a specific verb and resource: getting the latest COT positioning snapshot across all tracked futures contracts, grouped by category. It hints at a distinction from GetCftcPositioning by noting each row carries the market code that tool accepts, though it doesn't fully articulate the division of labor. Clear and specific enough that an agent knows what it returns.

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 this is the broad 'latest across all contracts' view and that GetCftcPositioning takes a specific market code, which gestures at when to use each. However, it never explicitly says when to prefer this over the sibling or states any prerequisites. Usage is inferable rather than stated.

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