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Glama

Finviz-only: insider, institutional and short interest

stock_ownership

Retrieve insider trades, institutional holdings, and short-interest history for a stock ticker to assess ownership activity and market sentiment.

Instructions

Insider trades, institutional holders and short interest (Finviz-only).

Combines three Finviz datasets that no other provider here offers: Form-4 insider transactions with monthly buy/sell aggregates, institutional positions, and FINRA short-interest history.

Args: symbol: Ticker. limit: Max rows per table.

Returns: Envelope labelled FINVIZ with insider, institutional and short_interest blocks (whichever Finviz could serve).

Input Schema

NameRequiredDescriptionDefault
limitNo
symbolYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does add one genuinely useful behavioral trait — results degrade gracefully, returning only 'whichever Finviz could serve' — which matters for downstream parsing. However, it says nothing about rate limits, data delay/freshness, or required plan access, and the envelope/block structure it describes is largely already covered by the output schema.

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?

Front-loaded with the one-line purpose and the differentiator, followed by a conventional Args/Returns block. Every line is scannable and there is no filler, though the Returns paragraph restates output-schema content and 'Ticker.' is a wasted line.

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?

For a two-parameter read-only data fetch with an output schema available, this covers purpose, both parameters and the partial-availability caveat, which is enough to invoke it correctly. The remaining gap is minor: no example symbol format or bounds/sane values for 'limit'.

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 0%, so the description must compensate for both parameters. It partially does: 'limit' is clarified as max rows PER TABLE, which is non-obvious given three stacked tables. But 'symbol: Ticker.' is pure tautology, adding no format, case, or exchange-suffix guidance.

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?

Names a specific verb set and three concrete resources (Form-4 insider transactions with monthly aggregates, institutional positions, FINRA short-interest history), and explicitly contrasts with siblings via '(Finviz-only)' / 'no other provider here offers'. An agent can tell this apart from stock_filings or stock_quote without opening the schema.

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 'Finviz-only' framing plus 'no other provider here offers' gives clear positive selection context: use this when you need insider, institutional or short-interest data because no sibling covers it. It stops short of explicit exclusions or the opposite direction (e.g. use stock_filings for raw filings instead), so it is clear guidance but not a full when/when-not map.

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