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Glama

Screen Companies

screen_companies
Read-only

Screen companies by price range, volume, cash runway, float, shares outstanding, market cap, industry, listing exchange (NASDAQ/NYSE/AMEX), and float data source. Sort results by any sortable column. Returns matching companies with key metrics and pagination. Each row carries live trading-halt status (halted/haltCode/haltedAt; false/null when trading normally); pass excludeHalted=true to drop currently-halted tickers from the results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum results per page (default: 25, max: 100)
offsetNoOffset for pagination (default: 0)
sortByNoColumn to sort results by (default: volume)
countryNoCompany universe by issuer domicile: "US" (default), "CA" (Canadian companies via their US-OTC/US cross-listings), or "all"
exchangeNoFilter by listing exchange (exact match): NASDAQ, NYSE, or AMEX
industryNoFilter by company industry (exact match, e.g. "Biotechnology", "Software")
maxFloatNoMaximum computed public float (shares)
maxPriceNoMaximum latest price in USD
minFloatNoMinimum computed public float (shares)
minPriceNoMinimum latest price in USD
maxVolumeNoMaximum daily trading volume
minVolumeNoMinimum daily trading volume
sortOrderNoSort direction (default: desc)
floatSourceNoFilter by float data source
excludeHaltedNoWhen true, exclude tickers with a currently-active trading halt (regulatory or volatility) from the results. Default false — halted rows are included and carry halted/haltCode/haltedAt fields.
maxCashRunwayNoMaximum estimated months of cash remaining
minCashRunwayNoMinimum estimated months of cash remaining
maxMarketCapComputedNoMaximum market cap in USD (price * shares outstanding)
maxSharesOutstandingNoMaximum shares outstanding from SEC EDGAR
minMarketCapComputedNoMinimum market cap in USD (price * shares outstanding)
minSharesOutstandingNoMinimum shares outstanding from SEC EDGAR

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo

TDQS

A4.4/5.0
Behavior4/5

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

The description adds behavioral context beyond the readOnlyHint annotation, such as the presence of trading-halt fields in results and the option to exclude halted tickers. It also mentions default pagination and sorting. No contradictions with annotations.

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?

The description is concise, with two main sentences covering purpose and details, plus a third for halt behavior. It front-loads the core function and uses an efficient structure.

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?

Given the high schema coverage and presence of an output schema, the description adequately covers the use case. It explains pagination, sorting, and halt filtering, which are critical for using the tool effectively. No major gaps.

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 parameters are individually documented. The description adds value by summarizing the screening dimensions and highlighting the halt behavior, which is not evident from parameter descriptions alone. It groups related parameters conceptually.

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 clearly states the tool screens companies by multiple criteria (price, volume, cash runway, etc.) and returns matching companies with key metrics and pagination. It distinguishes itself from sibling tools (e.g., get_company_profile, search_companies) by being a multi-filter screener.

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 explains when to use the tool (to filter companies by various financial and trading attributes) and provides details about controlling halt status and pagination. It does not explicitly state when not to use it or list alternatives, but the context is clear and the feature set is well-defined.

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

A3.8/5.0
Disambiguation3/5

Many tools have distinct purposes, but there are several groups of closely related tools (e.g., multiple insider trading and politician tools) that could cause confusion. Overall, an agent can generally distinguish tools, but the boundaries between some are fuzzy.

Naming Consistency5/5

All tool names use a consistent verb_noun pattern (get_, search_, screen_) with snake_case. This makes the tool set predictable and easy to navigate.

Tool Count1/5

With 91 tools, the server is far too large. The number of tools is excessive for a single MCP server, leading to cognitive overload and suggesting it should be split into multiple focused servers.

Completeness4/5

The tool surface covers an impressively wide domain including company data, insider trading, institutional holdings, political trading, and SEC filings. Minor gaps exist (e.g., no options or bonds), but the coverage is comprehensive for the stated purpose.