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Glama

get_vol_structure

Analyze options volatility skew and term structure for any ticker to gauge market fear and near-term event stress. Choose a specific expiration or view all expiries.

Instructions

Volatility structure — the skew across strikes and the term structure across expirations, with plain-English reads. Skew (25-delta put IV minus call IV) shows where demand/fear sits; term slope (back ATM IV minus front) shows contango (calm) vs backwardation (near-term event stress).

Plan: Trader and up.

Args: symbol: Underlying ticker. expiration: Unix timestamp of a specific expiry, or "all". Omit for the nearest expiry.

Returns VolStructureResponse JSON: symbol, spotPrice, timestamp, skew[] (per expiration: atmIV, skew25Delta, read), termStructure[] (ATM IV vs DTE), skewRead, termRead, and termSlope (back − front ATM IV; <0 = backwardation).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYes
expirationNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden. It explains the response shape, key interpretation semantics (skew, termSlope, backwardation), default expiration behavior, and access plan. It does not mention error cases or rate limits, but for a read-oriented data retrieval tool the disclosed behavior is substantial.

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?

The description is organized with an opening definition, access plan, args, and returns. The skew and term-structure explanations are useful rather than padding, though 'Plan: Trader and up' is slightly out of place and the return section is dense.

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?

No output schema is provided, so the description reasonably compensates by enumerating the VolStructureResponse fields and their interpretation. It covers both parameters and return semantics, though it lacks explicit comparison to sibling tools and error/edge-case behavior.

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

Parameters4/5

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

Schema description coverage is 0%, so the description must compensate. It does: symbol is defined as the underlying ticker, and expiration is explained as a Unix timestamp, the special value 'all', and the omit-for-nearest-expiry behavior. This adds real meaning beyond the raw 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 clearly states that the tool returns volatility structure—skew across strikes and term structure across expirations—and describes the response fields. It is distinct enough to be recognized against vol-related siblings, but it does not explicitly name or contrast alternatives like get_gex or get_greeks.

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?

Usage is implied: an agent seeking skew or term-structure data would infer this tool is relevant. 'Plan: Trader and up' gives an access prerequisite, but there is no explicit guidance about when to choose this over sibling tools or when not to use it.

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