Skip to main content
Glama

Screen companies by fundamentals

screen_companies

Filter the tracked-company universe (800+ US companies, all S&P 500 constituents) by fundamentals: sector, minimum market cap, maximum P/E, minimum dividend yield, and minimum revenue growth. Mirrors the /screener tool. Returns matching companies with links to their pages.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoSort ordermarketcap
limitNo
max_peNoMaximum trailing P/E ratio
sectorNoExact sector name, e.g. "Information Technology", "Financials", "Energy"
min_dividend_yield_pctNoMinimum dividend yield in percent, e.g. 3 for 3%
min_revenue_growth_pctNoMinimum TTM revenue growth in percent, e.g. 20 for 20%
min_market_cap_billionsNoMinimum market cap in USD billions

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
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 adds real value by disclosing the universe (800+ US companies, all S&P 500) and the return shape (matching companies with links), but says nothing about result limits/defaults, pagination, or any access constraints, which matter for a list-returning tool.

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?

Three front-loaded sentences with no filler: universe, filter dimensions, and return value. The 'Mirrors the /screener tool' clause is mildly redundant but does help an agent that knows the web tool.

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?

No output schema exists, but the description covers the return value adequately (matching companies with page links), and the universe scope is stated. The main gap is that default/max result counts and pagination behavior are only discoverable from the schema.

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 86%, so the schema already documents nearly every parameter with units and examples. The description restates the filter dimensions at a higher level but adds no syntax, units, or semantics beyond what the schema provides — the correct baseline when the schema does the heavy lifting.

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 (filter/screen) and resource (the tracked-company universe) and even enumerates the filter dimensions, so the agent knows exactly what this does. It does not explicitly contrast itself with the closest sibling, search_companies, so it falls short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage context is only implied: screening by fundamentals against a named universe. There is no explicit statement of when to prefer this over search_companies or get_company, nor any prerequisite or exclusion guidance.

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.