Skip to main content
Glama

OptionsBell Options Flow

Multi-day unusual-flow streaks (Pro)

get_flow_streaks

Symbols with unusual options activity on N+ consecutive trading days, with the dominant side (call/put). Persistent unusual flow is a stronger signal than a single print - use for 'where does money keep showing up?'

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoTrading day, YYYY-MM-DD. Defaults to the latest available day.
sideNoDominant side by C/P volume ratio.
limitNo
symbolsNoComma-separated tickers, e.g. 'AAPL,NVDA,TSLA'.
min_streakNoMinimum consecutive days (default 3).
min_volumeNo

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the burden and does convey the selection logic (N+ consecutive days, dominant side) and signal interpretation. However, it omits operational behavior such as default date/min_streak/limit handling, sorting, or output shape.

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

Conciseness5/5

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

Two sentences, front-loaded with the core result and followed by a single actionable use case. No filler.

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 6-parameter tool with no output schema or annotations, the description provides a strong conceptual frame but leaves gaps around default values and result granularity. It still adequately disambiguates from sibling tools like get_unusual_activity, but not enough to fully guide invocation.

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 high (67%) and already describes date, side, symbols, and min_streak defaults. The tool description reinforces the 'N+' streak concept but does not add new meaning for limit or min_volume.

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 identifies the resource as symbols with unusual options activity meeting a multi-day streak criterion and mentions the dominant side. It distinguishes from single-print tools via 'stronger signal than a single print', though it lacks an explicit verb like 'lists' or 'returns'.

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?

It gives a clear use case: 'where does money keep showing up?' and frames streaks as stronger than single prints, implying not for one-off alerts. It does not explicitly name alternatives or enumerate when-not-to-use cases.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4/5.0
Disambiguation4/5

Each tool targets a distinct analytical view (contract scan, per-symbol detail, history, sentiment, etc.), with clear boundaries. The only minor overlap is between get_symbol_flow and get_unusual_activity when filtering by a single symbol, but descriptions clarify the difference (single-symbol detail vs. broad scanner).

Naming Consistency5/5

All tool names follow a consistent get_<object> pattern (e.g., get_expiry_concentration, get_oi_changes), with ping as the standard exception for liveness checks. The naming is predictable and uniform.

Tool Count5/5

13 tools is well within the ideal range for a specialized data analytics server. Each tool covers a distinct query type and earns its place without redundancy.

Completeness5/5

The tool surface comprehensively covers the domain of unusual options flow discovery and analysis: data discovery, contract-level scans, per-symbol views, time series, sentiment, and market-wide aggregations. No obvious gaps or dead ends.