Skip to main content
Glama

riskpulse

RiskPulse: Global risk intelligence API. AI-synthesized travel safety alerts, country risk profiles, sanctions screening, business risk analysis, supply chain disruption intelligence, nomad visa/tax guidance, ex

Coverage: Global

Endpoints: • country ($0.10): Country risk profile • travel ($0.08): Travel safety assessment • business ($0.10): Business risk analysis • compare ($0.10): Country risk comparison • expat ($0.10): Expat living guide • alerts ($0.10): Situational security alerts • quake-check ($0.01): Earthquake activity check — deterministic USGS primitive • evac ($0.10): Evacuation plan • nomad ($0.10): Digital nomad score • sanctions ($0.15): Sanctions exposure analysis • supply ($0.15): Supply chain risk

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latNoLatitude of the point of interest (omit both lat and lon for the global feed)
lonNoLongitude of the point of interest
cityNoCity
daysNoLookback window in days (max 365)
fromNoCountry of origin (default: US)
langNolang
limitNoMax events returned (max 100)
actionYesWhich endpoint to call. Options: country | travel | business | compare | expat | alerts | quake-check | evac | nomad | sanctions | supply
entityNoEntity name
countryNoCountry name (e.g. Mexico, Thailand, Nigeria)
productNoProduct or component
industryNoindustry
locationNoLocation
countriesNoComma-separated country names (e.g. Mexico,Colombia,Costa Rica)
radius_kmNoSearch radius in km (max 5000)
entity_typeNoEntity type (person, company, vessel)
nationalityNoTraveler nationality (default: US)
min_magnitudeNoMinimum magnitude (default 4.0 with a point, 5.0 global)

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the burden of disclosure. It adds useful context: 'AI-synthesized' alerts, 'deterministic USGS primitive' for quake-check, and per-endpoint pricing. However, it omits response formats, auth requirements, and error behaviors, so transparency is partial.

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 well-structured with a front-loaded summary and a bulleted endpoint list. Each line adds value (capability and price), and the length is appropriate for an 11-endpoint tool. Slight verbosity from pricing is acceptable.

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?

This is a complex multi-action tool with 18 parameters and no output schema. The description fails to explain which parameters are relevant for each action (e.g., 'countries' for compare, 'entity' for sanctions). Without this mapping, an agent may struggle to invoke the correct endpoint with the right parameters.

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?

Schema coverage is 100%, so baseline is 3. The description adds meaning beyond the schema by associating each action enum value with a one-line semantic and price, improving the agent's understanding of what each endpoint does. It does not map specific parameters to actions, but the parameter names are self-descriptive.

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 clearly states it is a 'Global risk intelligence API' and enumerates specific capabilities (travel safety alerts, country risk profiles, sanctions screening, etc.), making it distinct from sibling tools with different domains. The verb is implicit but the resource and scope are explicit.

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?

The description lists endpoints and their purposes, implying when to use the tool (e.g., for country risk, travel safety). However, it provides no explicit when-not-to-use guidance or mentions alternative sibling tools, so the agent must infer selection based on the endpoint list alone.

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.

TDQS

B3.2/5.0
Disambiguation4/5

Each tool has a unique domain prefix (e.g., airdroppulse, alphapulse, arbipulse) making them mostly distinguishable at a glance. A few adjacent verticals like careerpulse vs talentpulse or marketpulse vs dealpulse have overlapping themes, but their descriptions clarify the distinct focus. The utility tools (catalog_search, discover, get_openapi_spec, x402_troubleshoot) are also clearly distinct in role. However, the sheer number of similar 'pulse' names could still cause misselection without reading descriptions.

Naming Consistency4/5

The dominant naming convention is `<domain>pulse` (e.g., climatepulse, cryptopulse, edupulse), which is highly consistent and predictable. Exceptions like catalog_search, discover, get_openapi_spec, x402_troubleshoot, and stateedge break the pattern, but these are few and serve obvious utility purposes. Overall, the convention is clear and easily learnable.

Tool Count2/5

With 80 tools, the server presents an extremely large and potentially overwhelming surface. While each tool represents a distinct intelligence vertical and navigation aids exist (catalog_search, discover, get_openapi_spec), the count far exceeds the typical 3-15 range for coherent agent use and even the 'heavy' 16-25 range. The burden of selecting the correct vertical from 80 options is significant, despite clear naming.

Completeness5/5

The server offers an exceptionally broad and deep coverage of domains, from finance and health to agriculture and gaming. Each vertical includes multiple endpoints that address core operations for its domain, such as search, analysis, comparisons, deterministic checks, and even action-oriented tools like letter generators and physical mail. The presence of free discovery and troubleshooting tools fills potential gaps, leaving no obvious dead ends in the overall tool surface.