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HarryWarre

Crypto Options Desk MCP

by HarryWarre

Analyze Straddles

analyze_straddles

Analyze crypto options straddles and rank their profitability using filters for base coin, minimum open interest, and spread types.

Instructions

Comprehensive straddle analysis with profitability ranking

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It reveals profitability ranking, but does not state whether the operation is read-only, how the analysis is computed, what universe it covers, or what assumptions it makes. 'Comprehensive' is an unsupported superlative.

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 compact and front-loads purpose, but it relies on vague filler words like 'comprehensive' and 'analysis' while omitting operational content. It is short, but not necessarily well-structured enough to help an agent act.

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?

Despite having an output schema, the tool has no annotations and a nested params schema, so an agent still needs usage boundaries, parameter guidance, and routing conditions to call it correctly. The description provides only a high-level purpose and leaves critical context to inference.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, yet the description does not mention min_oi, base_coin, or spread_types. An agent cannot infer how these parameters interact, what sensible values are, or how spread_types affects ranking, so the description adds no parameter-level meaning.

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 names a specific strategy (straddles) and a concrete output (profitability ranking), which distinguishes it from siblings like analyze_strangles at a surface level. The verb 'analysis' is generic, but the resource and ranking intent are clear enough.

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 guidance about when to use this tool versus analyze_strangles, analyze_spreads, or analyze_portfolio_strategies. The only implicit routing signal is the word 'straddle', so an agent cannot tell when this tool is preferred or not.

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