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FirmFax prop firm data

find_firms

Firms matching every criterion given. A firm whose record does not carry a criterion is never counted as a match and never silently dropped: it is returned separately under unknown, with the field that could not be tested. Absence is common here, so read counts before treating the matched list as the answer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
assetClassNoFirms recorded as offering this. 21 of 71 records name no asset class and are returned as unknown.
maxResetFeeNoReset fee at or below this. 56 of 71 record no fee.
maxActivationFeeNoActivation fee at or below this. 42 of 71 record no fee.
maxConsistencyPctNoConsistency rule at or below this. 28 of 71 record none.
maxDailyLossLimitNoDaily loss limit at or below this, in the unit dailyLossLimitUnit names. 31 of 71 record none.
maxMinTradingDaysNoMinimum trading days at or below this, counted as minTradingDaysUnit names. 16 of 71 record none.
dailyLossLimitUnitNoThe unit maxDailyLossLimit is in. Daily loss limits are recorded in percent at some firms and in dollars at others, and the two are never compared: a firm recorded in the other unit is returned under unknown with its unit named.
maxMinDaysToPayoutNoMinimum days to first payout at or below this, counted as minDaysToPayoutUnit names. 26 of 71 record none.
minTradingDaysUnitNoWhat maxMinTradingDays counts: calendar_days, trading_days or winning_days. A minimum is compared only with minimums counted the same way; a firm counting another way, or stating no unit, is returned under unknown with what it counts named.
minDaysToPayoutUnitNoWhat maxMinDaysToPayout counts: calendar_days, trading_days or winning_days. A wait is compared only with waits counted the same way; a firm counting another way, or stating no unit, is returned under unknown with what it counts named.
minTradingDaysMinProfitNoWith winning_days only: the profit a day must reach to count. A firm whose winning days carry a different profit bar is returned under unknown.
minDaysToPayoutMinProfitNoWith winning_days only: the profit a day must reach to count. A firm whose winning days carry a different profit bar is returned under unknown.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • changedInput schema / properties / maxMinTradingDays / description
      Previous value: -"Minimum trading days at or below this. 16 of 71 record none."New value: +"Minimum trading days at or below this, counted as minTradingDaysUnit names. 16 of 71 record none."
    • addedInput schema / properties / minTradingDaysMinProfit
      Added value: +{
      +  "description": "With winning_days only: the profit a day must reach to count. A firm whose winning days carry a different profit bar is returned under unknown.",
      +  "type": "number"
      +}
    • addedInput schema / properties / minTradingDaysUnit
      Added value: +{
      +  "description": "What maxMinTradingDays counts: calendar_days, trading_days or winning_days. A minimum is compared only with minimums counted the same way; a firm counting another way, or stating no unit, is returned under unknown with what it counts named.",
      +  "enum": [
      +    "calendar_days",
      +    "trading_days",
      +    "winning_days"
      +  ],
      +  "type": "string"
      +}
  2. Changed3 schema fields changed
    • changedInput schema / properties / maxMinDaysToPayout / description
      Previous value: -"Minimum days to first payout at or below this. 26 of 71 record none."New value: +"Minimum days to first payout at or below this, counted as minDaysToPayoutUnit names. 26 of 71 record none."
    • addedInput schema / properties / minDaysToPayoutMinProfit
      Added value: +{
      +  "description": "With winning_days only: the profit a day must reach to count. A firm whose winning days carry a different profit bar is returned under unknown.",
      +  "type": "number"
      +}
    • addedInput schema / properties / minDaysToPayoutUnit
      Added value: +{
      +  "description": "What maxMinDaysToPayout counts: calendar_days, trading_days or winning_days. A wait is compared only with waits counted the same way; a firm counting another way, or stating no unit, is returned under unknown with what it counts named.",
      +  "enum": [
      +    "calendar_days",
      +    "trading_days",
      +    "winning_days"
      +  ],
      +  "type": "string"
      +}
  3. Changed2 schema fields changed
    • addedInput schema / properties / dailyLossLimitUnit
      Added value: +{
      +  "description": "The unit maxDailyLossLimit is in. Daily loss limits are recorded in percent at some firms and in dollars at others, and the two are never compared: a firm recorded in the other unit is returned under unknown with its unit named.",
      +  "enum": [
      +    "percent",
      +    "usd"
      +  ],
      +  "type": "string"
      +}
    • changedInput schema / properties / maxDailyLossLimit / description
      Previous value: -"Daily loss limit at or below this. 31 of 71 record none."New value: +"Daily loss limit at or below this, in the unit dailyLossLimitUnit names. 31 of 71 record none."
  4. Added

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations the description carries the full burden, and it delivers a genuinely useful behavioral trait not derivable from the schema alone: non-matching-by-absence records are returned separately under 'unknown' with the untestable field named, never silently dropped. It stops short of describing pagination, ordering, or the response envelope.

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 sentences, front-loaded with the core predicate before the caveat, and each sentence carries distinct information. Minor density cost from the colon-and-clause construction, but no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 12-parameter tool with no annotations and no output schema, the description covers the crucial unknown-bucket semantics but leaves the return shape, matched-list structure, and any limits unaddressed. Adequate but with an evident gap around what actually comes back.

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% and each parameter already documents its own unit and unknown-record counts (e.g. '56 of 71 record no fee'). The description adds no per-parameter syntax or semantics beyond what the schema provides, so the 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 operation on a named resource: firms matching every criterion given, i.e. a conjunctive filter over firm records. That is clear enough to distinguish it from get_firm and compare_firms, though it never explicitly contrasts itself with list_firms, the nearest sibling.

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?

Offers real interpretive guidance ('read counts before treating the matched list as the answer' because absence is common), but gives no explicit when-to-use/when-not-to-use framing and never routes the agent to compare_firms or list_firms. Usage is implied rather than 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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