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Boothcheck strategies and signals

get_strategies
Read-only

Use this for any question about Boothcheck strategies, signals, current theoretical detections, measured history, strategy evidence, SEC-derived tender/Form 144 notice feeds, or ideas Boothcheck tested and killed. Choose overview for the validated strategy and governance record; open/history for its detections; signals for measured event families; notices for non-predictive filing notice boards; graveyard for failed research. These are historical research records and notices, never individualized recommendations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoWhich part of the public Strategies/Signals page to read (default overview)
slugNoOptional exact signal or graveyard slug for one detailed record
limitNoMaximum rows returned for list modes (default 25, max 100)

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true, so the safe-read nature is covered. The description adds meaningful context beyond annotations: the content is historical research, non-predictive filing notices, failed and killed ideas, and never individualized recommendations. This helps an agent set expectations and avoid over-interpreting output, which goes beyond simple read-only metadata.

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 front-loaded with the core use case and ends with an important limitation phrase. It packs a lot into one long sentence and a few follow-ups, and while the first sentence is a dense list, every clause contributes a distinct navigation path or boundary. It is organized and readable, though slightly verbose with several overlapping categories.

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 cannot rely on structured output documentation, but it still supplies enough domain boundary, mode routing, and caveats for an agent to call the tool appropriately. It does not detail exact return shapes, but for a read-only record-and-notice tool with three optional parameters, this is sufficient guidance.

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 coverage is 100%, so the baseline is fair at 3. The description adds semantic meaning to the enum modes themselves: overview as the validated strategy and governance record, open as detections, notices as non-predictive filing boards, etc. The schema alone would expose only opaque mode names, so this is a clear value-add.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific directive: "Use this for any question about Boothcheck strategies, signals..." It names a clear resource and scope, and the mode list (overview, open, history, signals, notices, graveyard) tells an agent exactly what domain it covers. This distinguishes the tool from its siblings, which appear to cover pricing and coverage rather than strategy records.

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 gives explicit guidance: use this tool for Boothcheck strategy/signal questions, and it even says "never individualized recommendations." It also maps each mode to its use case, e.g., "graveyard for failed research." It does not explicitly name sibling tools as alternatives, but it clearly defines the tool's territory and a notable when-not case.

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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TDQS

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct purpose: single-stock inversion, pairwise comparison, market-wide ranking, coverage inventory, and report summaries. No two tools could be confused for the same function.

Naming Consistency3/5

Three tools use a verb_noun pattern (compare_priced_in, get_report_summary, list_coverage), but most_stretched is an adjective and whats_priced_in is a question phrase. This mix of styles makes the naming pattern inconsistent, though all are lowercase and underscore-separated.

Tool Count5/5

With exactly 5 tools, the set is well-scoped for a niche financial analysis service. Each tool earns its place and there is no unnecessary duplication.

Completeness5/5

The tool set covers the core workflows: discovering coverage, analyzing a single ticker, comparing two, screening for the most stretched, and accessing report summaries. Any missing functionality (e.g., full report text) is a content restriction, not a tool-surface gap.