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xpay✦ Finance Collection

getCOTAnalysis

Gain in-depth insights into market sentiment with the FMP COT Report Analysis API. Analyze the Commitment of Traders (COT) reports for a specific date range to evaluate market dynamics, sentiment, and potential reversals across various sectors.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoOptional end date (YYYY-MM-DD)
fromNoOptional start date (YYYY-MM-DD)
symbolYesCommodity symbol

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. First observed

TDQS

B3.3/5.0
Behavior2/5

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

With no annotations provided, the description carries full burden. It indicates a read-only analytical operation but does not disclose return format, data source limitations, or any side effects. The phrase 'gain in-depth insights' is vague and does not provide concrete behavioral transparency.

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 two sentences, but the first sentence is generic marketing ('Gain in-depth insights') that restates the tool's purpose. The second sentence carries the substantive content. It could be condensed to one sentence without losing value.

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

Completeness3/5

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

For a tool with no output schema and no annotations, the description should explain what the analysis returns and how to interpret it. The description only promises 'insights' and 'evaluate market dynamics' without specifics. While the parameters are simple, the lack of output context makes it incomplete.

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 covers all 3 parameters (100%), so the baseline is 3. The description adds a general 'date range' concept, but this is already represented by the from/to parameter descriptions. It does not add new meaning beyond the schema.

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 verb ('Analyze') and resource ('COT reports') with an explicit date-range scope. It distinguishes itself from the sibling getCOTReports by focusing on 'analysis' and 'insights,' though it does not explicitly name the alternative.

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 provides clear context for when to use this tool—when evaluating market sentiment and potential reversals from COT data. However, it lacks explicit guidance on alternatives, such as using getCOTReports for raw data, and does not state any exclusions.

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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