MCP health — MCP directory health check diagnostics
Server Details
Diagnoses whether an MCP server is reachable, by live HTTP probe.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-06-18
- URL
TDQS
Scored across 2 tools
The two tools have completely distinct purposes: one performs a live diagnostic check on a specific server, the other lists historical scan results from the registry. There is no overlap or ambiguity in their functionality.
Both tool names follow the same verb_noun pattern: 'check_mcp_server' and 'list_scan_results'. The naming is consistent, clear, and predictable.
With only two tools, the server feels thin but not empty. The tools cover the core actions of checking a server and listing results, yet the narrow scope leaves little room for expansion, making the count borderline.
The tool surface covers the primary workflow—running a health check and viewing recent registry results. Minor gaps exist, such as fetching details of a specific past result without re-running a check, but agents can work around this by using the check tool directly.
Available Tools
2 toolscheck_mcp_serverAInspect
Diagnose whether an MCP server passes directory health checks. Runs five real HTTP probes (modern initialize, legacy initialize, anonymous tools/list, unauthorized tools/call, WWW-Authenticate/resource_metadata) and returns findings with fixes.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | MCP endpoint URL (streamable HTTP) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations supplied, the description properly discloses that this tool makes real network calls by enumerating the five HTTP probes, including anonymous and unauthorized variants. It also states the return shape at a high level ('findings with fixes'), which is meaningful for an agent choosing whether to invoke it. It does not cover latency, auth credentials, or side-effect caveats, but the core behavioral profile is transparent.
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?
Two sentences: the first front-loads purpose, the second adds exact probe names and the outcome. Every clause carries useful information; the enumeration is long but earned rather than padded.
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 one-parameter tool with no output schema or annotations, the description covers purpose, operational behavior, and result type, which is enough to select and invoke it. The only real omission is a more detailed return contract or a link to list_scan_results, but that is a minor gap given the tool's simplicity.
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?
The input schema already documents the single url parameter at 100% coverage, including the streamable-HTTP qualifier. The description adds no parameter-specific meaning beyond implying that this URL is the target of the probes, so the baseline 3 applies.
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 uses a specific verb ('Diagnose') with a clear object ('whether an MCP server passes directory health checks') and then enumerates the concrete probes it runs. This clearly distinguishes the tool from the sibling list_scan_results, which is about reading prior results rather than actively running diagnostics.
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 intended trigger is clear: use this when you need to determine whether an MCP server passes the directory health-check suite. It does not, however, name the sibling list_scan_results or state when to prefer it, so the guidance stops short of explicit alternative routing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_scan_resultsAInspect
List the most recent scan results across MCP servers taken from the official registry, with verdicts and issue counts.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| verdict | No | optional filter |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the behavioral disclosure burden. It adds useful context: results are recent, sourced from the official registry, and include verdicts and issue counts. However, it does not mention default limit behavior, pagination, or whether the operation is purely read-only, though 'list' strongly implies it.
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?
A single well-structured sentence that front-loads the primary purpose and then adds relevant qualifiers ('most recent', 'official registry', 'verdicts and issue counts'). There is no filler or redundant repetition of the tool name.
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 simple read-oriented listing tool with two optional parameters and no output schema, the description covers the essential context: what is listed, from where, in what order, and what the results contain. It is not fully complete because it omits default limit semantics and any routing guidance relative to `check_mcp_server`, but those are minor gaps.
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 description coverage is 50%: `verdict` is documented as an optional filter and has an enum, while `limit` has no description. The description mentions 'most recent' and 'verdicts' but does not explicitly explain the `limit` parameter or how it interacts with the verdict filter, so it only partially compensates for the coverage gap.
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 states a specific action ('List'), a precise resource ('most recent scan results across MCP servers taken from the official registry'), and the output content ('verdicts and issue counts'). The plural bulk-list framing naturally distinguishes this from the singular sibling `check_mcp_server`, though it does not name that alternative explicitly.
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?
There is no explicit guidance about when to use this tool versus `check_mcp_server`, nor any exclusions or prerequisites. The description merely implies a bulk listing operation, leaving the agent to infer the appropriate choice from the tool names alone.
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.
2 tool updates
- First observed
check_mcp_server - First observed
list_scan_results
Related MCP Connectors
Check an MCP endpoint resolves: liveness, live tool list, schema drift. Free.
Experimental MCP server for current empirical verification of explicit public HTTPS endpoint claims.
Find MCP servers and check whether they actually respond, via live handshake probes.
Related MCP Servers
- AlicenseAqualityAmaintenanceAgent-readiness scorecard for any MCP server: protocol checks, 0-100 score and actionable findings.147 npmMIT
- AlicenseAqualityAmaintenanceMCP server for on-demand network diagnostics, providing DNS lookups with DNSSEC checks, ping, traceroute, TCP port checks, HTTP checks, TLS certificate inspection, WHOIS, and ASN lookups.1241 PyPIMIT
- AlicenseAqualityCmaintenanceNetwork diagnostics — ping, traceroute, DNS lookup, port scanning, and connectivity testing via MCP.14MIT
- AlicenseNot gradedqualityCmaintenanceDiagnoses web hosting and server issues by combining live HTTP, SSL, DNS, and security-header checks with a searchable knowledge base of troubleshooting notes, enabling MCP clients to investigate symptoms and explain root causes.MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.