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gray-wilbee

fub-mcp

by gray-wilbee

get_rate_limit_limits

Check your currently configured rate limits for the Follow Up Boss API without the cost of a usage query.

Instructions

Currently-configured rate limits for the calling partner system. Cheaper than /v1/rateLimit/usage (no Redis fan-out). (GET /rateLimit/limits)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
extraQueryNoExtra raw query parameters not explicitly listed above — e.g. FUB custom field filters like custom.ClosingDate on /people or /deals. Keys and values are sent as-is.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description must carry behavioral weight. It does indicate this is a GET, implies read-only behavior, and discloses a performance trait (no Redis fan-out). However, it doesn't mention response shape, whether the call counts against rate limits, or any authentication requirements.

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 compact, front-loaded with the resource identity, and uses the endpoint and sibling comparison efficiently. Every sentence adds value with no redundancy.

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 simple read-only endpoint with one optional parameter, the description covers what the tool returns conceptually and why to prefer it. The absence of an output schema is a minor gap, but the tool's purpose and differentiation are sufficiently clear.

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 coverage is 100% for the single parameter, so the schema already documents extraQuery. The description adds no parameter-level detail, which is acceptable given the high schema coverage, so baseline 3 applies.

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 names the exact resource ('currently-configured rate limits') and gives the endpoint path. It also distinguishes itself from get_rate_limit_usage by clarifying this is about configured limits, not usage.

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?

It provides concrete selection context by stating this endpoint is cheaper than /v1/rateLimit/usage and why (no Redis fan-out). It doesn't explicitly say 'use usage when you need actual consumption data,' but the contrast is clear enough to guide tool choice.

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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