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Search Short Sale Volume

short_volume_search
Read-onlyIdempotent

Look up a ticker's FINRA short-sale volume: average / latest / peak short % of consolidated volume over the rolling ~60-trading-day window. FINRA source terms: https://www.finra.org/terms-of-use.

Input Schema

NameRequiredDescriptionDefault
qYesTicker symbol
limitNoMax results (default 25)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint, idempotentHint, destructiveHint=false, closed-world), so the description's job is to add context — and it does: the ~60-trading-day rolling window, the specific metrics computed, and a FINRA terms-of-use attribution link. It stops short of noting any rate limits or result ordering, so it is not fully rich.

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 tight sentences: the first front-loads what the tool returns and the aggregation window, the second is a short source-attribution note. No filler, no restatement of the tool name, every clause carries information.

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?

There is no output schema, so the description usefully names the returned metrics and the window they are computed over. For a two-parameter, fully annotated read-only lookup this covers nearly everything; only result ordering and pagination behavior with respect to 'limit' remain unstated.

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 coverage is 100% for both parameters ("Ticker symbol", "Max results (default 25)"), so the schema carries the semantic load. The description mentions the ticker indirectly but adds no format, syntax, or default details beyond what the schema already provides. Baseline 3 applies.

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?

States a specific verb and resource ("Look up a ticker's FINRA short-sale volume") and even enumerates the metrics returned (average / latest / peak short % of consolidated volume) over a defined ~60-trading-day window. However, it never differentiates itself from close siblings such as short_volume_most_shorted or short_interest_search, so an agent must infer the distinction from the name alone.

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 explicit when-to-use, when-not-to-use, or alternative-tool guidance. The per-ticker framing implies a lookup use case, but with several short-related siblings (short_volume_most_shorted, short_interest_search, short_interest_squeeze) nothing tells the agent which one to pick. No prerequisites or exclusions are stated.

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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