Validates an IP address's physical route and latency offsets to verify country compliance, returning a cryptographically signed Geolocation Certificate. Matches: geolocate ip check, secure location verification, ip route validator, compliant network geodata.
| Name | Required | Description | Default |
|---|---|---|---|
| ip | Yes | IP address to verify (e.g. 8.8.8.8) | |
| expected_country | Yes | Expected 2-letter ISO country code of the agent |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full responsibility. It discloses the verification process (physical route, latency offsets) and the output (signed certificate), adding behavioral context beyond the schema. However, it omits potential side effects, authorization requirements, or rate limits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise: two sentences plus a list of search phrases. The first sentence efficiently conveys the purpose and output. The list of phrases is slightly redundant but not overly verbose, and the structure is clear.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 2 required parameters, complete schema coverage, and no output schema, the description covers the basic functionality and output format. However, it could provide more details on the certificate format or usage constraints, especially given the security-sensitive nature of the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so the baseline is 3. The description does not add new semantics for the parameters beyond what the schema already provides (IP and country code). It confirms that these are used for compliance verification, but that is already implied.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states that the tool validates an IP address's physical route and latency offsets to verify country compliance, and returns a cryptographically signed certificate. This is specific and distinguishes it from sibling tools like lookupIp which only looks up IP location, as it adds verification and certificate generation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description lists matching phrases like 'geolocate ip check' and 'secure location verification' which hint at use cases, but it does not explicitly state when to use this tool over alternatives or provide any exclusions. Agents are left to infer use from the purpose.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Many tools have overlapping functionality, e.g., auditNetworkHost combines DNS, SSL, and header checks that have dedicated tools (auditDnsSecurity, checkSslExpiry, auditSecurityHeaders). Multiple weather and blockchain tools also overlap in scope, making it difficult for an agent to choose the right tool.
Most tools follow a consistent verb_noun pattern (e.g., getAirQuality, checkDnsPropagation), but a few deviate (agentPreflight, capabilitiesDiff) and some use compound names (depositCoordinationBounty). Overall, the pattern is clear but not perfectly uniform.
With 56 tools, the server is far too large for a coherent MCP surface. The number suggests a collection of many unrelated APIs rather than a focused tool set. A typical well-scoped server has 3-15 tools.
While the tool set covers many domains, each domain has shallow coverage. For example, blockchain tools miss basic transaction sending and contract deployment; weather tools lack forecasts. The 'requestMissingData' endpoint acknowledges gaps, but the current surface is severely incomplete for a general-purpose API.