Endpoint reliability and evidence checks for autonomous software agents.
Scored across 1 tool
With only a single tool, there is no possibility of overlapping purposes or confusion. The tool's purpose is clear and unambiguous.
The single tool name is descriptive and follows a clean snake_case convention. Since there is no other tool to compare against, naming consistency is not a concern.
One tool is too few for a server with the broad-sounding name 'GRIDWATCH'. A comprehensive monitoring server would typically need additional tools for configuration, alerting, or history retrieval.
The surface only covers a single preflight health check, leaving no ability to configure endpoints, retrieve historical data, or act on findings. This is a significant gap for a monitoring-focused server, though the single operation is well-scoped.
Check an HTTP endpoint for reachability, latency, response status, operational risk flags and SHA-256 evidence.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It lists what is checked but does not state whether it makes network calls, any side effects, security implications, or the nature of the response. The agent cannot infer if this is a safe read operation or if it has side effects.
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 a single, efficient sentence that front-loads the primary action and lists the checks in a logical sequence. It contains no filler and is appropriately sized for a tool with one parameter.
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?
Despite the simplicity of having one input, the description omits any information about the output format, how to interpret results, or behavior on failure. With no output schema, the agent is left without guidance on what to expect, making the description incomplete for correct invocation and interpretation.
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 0%, so the description must compensate for the undocumented 'url' parameter. While the description inherently implies the url is the target endpoint, it does not specify format requirements (e.g., must include protocol) or any additional constraints. The parameter is self-evident from the purpose, so a baseline of 3 is appropriate.
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 ('Check') and resource ('HTTP endpoint'), and enumerates the exact aspects it evaluates: reachability, latency, response status, operational risk flags, and SHA-256 evidence. This is a clear, singular purpose that leaves no ambiguity about what the tool does.
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 offers no guidance on when to use this tool versus alternatives, nor any context about prerequisites or exclusions. With no siblings listed, it fails to communicate any selection criteria beyond the generic purpose statement.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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