MacroCyber
Server Details
Scan what a public site or AI-built app exposes. Returns a signed, exploitability-graded claim.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
TDQS
Scored across 1 tool
With only one tool, there is no possibility of overlapping purposes or misselection. The tool's purpose is clearly defined and self-contained, so ambiguity is trivially absent.
The single tool name 'macrocyber_exposure_claim' follows a descriptive pattern (prefix_verb_noun) and is internally consistent, but there is no set of tools to establish a broader naming convention. The score reflects the lack of comparative evidence rather than inconsistency.
One tool feels thin for a server purportedly dedicated to attack-surface assessment. While the tool is comprehensive in its own right, a single endpoint limits the server's utility and indicates a likely need for additional complementary tools (e.g., listing past scans, managing targets, or retrieving detailed reports).
The tool covers the core assessment workflow, but the surface is severely incomplete for a domain that could logically include operations like scheduling scans, viewing historical claims, or managing rate limits. The single tool leaves no room for lifecycle management or error recovery, creating potential dead ends for agents.
Available Tools
1 toolmacrocyber_exposure_claimMacroCyber exposure claimARead-onlyIdempotentInspect
Run a passive, external attack-surface assessment of a public website and return a signed, exploitability-graded exposure claim: an SSVC decision (Act, Attend, or Track), a folded score and letter grade, the observed enablers (each with its evidence, reachability, and CWE/OWASP/LLM/ASI taxonomy), and any composed attack-path chains. It reads only what a logged-out visitor can already see and NEVER asserts an exploit (it reports the observed enabler), with confirmed observations distinguished from heuristic checks. Use it to check what a public website or web app exposes to the internet, for example right after deploying an AI-built app. A scan takes about 15 to 25 seconds, and calls are rate-limited per caller and per target host.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | The target host or URL to assess, e.g. https://example.com |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark it readOnly, openWorld, idempotent, and non-destructive. The description adds substantial behavioral detail: it reads only what a logged-out visitor can see, NEVER asserts an exploit, distinguishes confirmed observations from heuristic checks, notes a 15–25 second runtime, and mentions per-caller/per-host rate limits. This significantly enriches the behavioral profile without contradicting the annotations.
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 somewhat long but every sentence carries essential information: purpose, output components, safety guarantees, use case, and performance characteristics. It is front-loaded with the primary action and outcome, followed by the behavioral constraints and usage guidance. It is efficient despite its length, earning a 4 rather than 3.
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?
Given the tool's complexity (multiple output types like SSVC decision, score, enablers, chains) and lack of an output schema, the description fully compensates by listing all return components explicitly. It also covers timing, rate limits, safety, and intended use case. With only one parameter, nothing an agent needs to call it correctly is missing.
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?
With only one parameter (url) and 100% schema coverage, the schema already document the parameter fully. The description adds no new parameter-specific semantics beyond implying the URL should be a public website, which is a marginal addition. Per rubric, high schema coverage sets a baseline of 3, and the description does not meaningfully exceed it.
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 the verb (Run an assessment), the resource (public website), and the specific output (signed, exploitability-graded exposure claim). It distinguishes itself as passive and external, which clearly separates it from potentially more active or intrusive tools. The purpose is unambiguous and action-oriented.
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 gives a concrete use case: 'check what a public website or web app exposes to the internet, for example right after deploying an AI-built app.' This provides clear context for when to use the tool. However, it does not explicitly mention when not to use it or list alternatives, which keeps it below a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
macrocyber_exposure_claim
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