Skip to main content
Glama
GMPSignal Real-Time Intelligence MCP (59 Tools)

GMPSignal Real-Time Intelligence MCP (59 Tools)

Official
by xpayrcom

greenhouse_fintech_compliance_hiring_tracker

Monitor fintech risk, compliance, and payments engineering hiring signals across Greenhouse job boards to spot companies scaling their teams.

Instructions

Greenhouse Fintech & Compliance Hiring Tracker: Monitors fintech risk, compliance, and payments engineering hiring signals across Greenhouse.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "greenhouse_fintech_compliance_hiring_tracker"
  }
}

Input Schema

NameRequiredDescriptionDefault
maxResultsNoMaximum number of structured items to extract.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It does not disclose whether this is read-only, how fresh the data is, what a 'signal' means, what the response contains, or any rate or source limitations.

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?

The description is a single efficient sentence with no wasted elaboration. Its only weakness is the title-like prefix that restates the tool name before getting to the actual scope.

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

Completeness2/5

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

With no output schema or annotations, the description should explain what the 'structured items' are, how fintech/compliance/payments signals are identified, and what an agent can expect from results. It omits all of that, leaving the tool under-specified for a monitoring/extraction operation.

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?

The single parameter maxResults has 100% schema description coverage, so the schema already explains it. The description adds no parameter-level meaning beyond the general 'hiring signals' framing, making the baseline 3 appropriate.

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?

The description states a specific domain (fintech risk, compliance, payments engineering) and source (Greenhouse), so the broad purpose is clear. However, 'hiring signals' and 'tracker' remain vague, and it does not explicitly distinguish itself from sibling Greenhouse hiring monitors.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus sibling hiring monitors, nor any when-not-to-use conditions. The domain scope only weakly implies usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

Other Tools