Turn any webpage into a structured action manifest — clickable, fillable, submittable elements.
Scored across 1 tool
With only one tool, there is no possibility of confusing it with others. The purpose is singular and clear.
The single tool name follows a clear and conventional verb_noun pattern ('get_manifest'), making it predictable and descriptive.
A server with just one tool feels thin and offers minimal functionality. It is borderline acceptable for such a narrow purpose, but the count is at the lower edge of typical expectations.
The server covers a single fetch operation for manifests, but lacks any supporting operations like listing, refreshing, or validating. The surface is minimal and could leave agents without workarounds if additional behavior is needed.
Fetch a structured action manifest (clickable/fillable/submittable elements) for a web page.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | ||
| fresh | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits (e.g., caching behavior, authentication needs, rate limits, or costs). It only states the basic function, leaving important behaviors like the freshness parameter's effect or network dependency unclear.
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 19-word sentence that immediately states the tool's purpose. No fluff, perfectly concise and front-loaded.
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 no output schema and two parameters, the description omits important context: return format, page loading behavior, or limitations (e.g., dynamic content). More detail is needed for effective use.
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 has 0% description coverage, and the description does not explain the 'url' or 'fresh' parameters. An agent cannot infer what values to provide or how 'fresh' affects behavior beyond the default.
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 ('Fetch') and resource ('structured action manifest'), and explains what the manifest contains ('clickable/fillable/submittable elements'). No siblings exist, so differentiation is not needed. This is specific and unambiguous.
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?
No guidance is provided on when or when not to use this tool, no prerequisites, and no alternatives mentioned. The description lacks any context for usage decisions.
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.
get_manifest1 field changedInput schema / properties / freshAdded value: +{
+ "default": false,
+ "title": "Fresh",
+ "type": "boolean"
+}get_manifestAI-powered browser automation — navigate, click, fill forms, and extract data from any website.
Turn any website into structured JSON data matching your custom schema.
Turn the web into structured, reliable, actionable enterprise data for AI Agents
Give agents eyes on any web page: structured context, and changes explained in plain language.
Add one secure layer between your agents and this server.
