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Prop Firm Rules (FloorGuard)

List prop firms and programs

list_firms
Read-onlyIdempotent

List supported prop firms and their programs: program ids, account sizes, verified flags and last-verified dates. Same data as GET /api/v1/firms.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is fully covered. The description adds real behavioral value beyond them by disclosing the payload contents (program ids, account sizes, verified flags, last-verified dates) and confirming it mirrors GET /api/v1/firms, which is important since no output schema exists. No pagination, caching or rate-limit behavior is mentioned.

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 compact sentences, front-loaded with the verb and resource, then the returned fields, then the endpoint equivalence. Every clause carries information and there is no filler.

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 zero-parameter, fully annotated read tool with no output schema, the description supplies the one thing structured fields cannot: what the response contains. Adding any more (pagination, ordering, freshness guarantees) would be marginal, but the absence of any output contract leaves a small gap.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a no-parameter tool applies. Schema description coverage is 100% and additionalProperties is false, so no compensating text is required.

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 (List) and a precise resource (supported prop firms and their programs), then enumerates the fields returned, so the agent knows exactly what it gets. It does not explicitly contrast with siblings check_drawdown or get_rules, but those cover different resources, so disambiguation is implicit rather than stated.

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?

There is no explicit when-to-use or when-not-to-use guidance and no named alternative. Usage is only implied by the resource being listed: an agent can infer it is the lookup for firm/program metadata, but nothing tells it whether check_drawdown or get_rules should be consulted first.

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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