webcap_analyze
PAID ($0.01): AI analysis of one URL — task is classification, accessibility, layout, entities or sentiment.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | Absolute http(s) URL to fetch | |
| task | Yes | What to analyze |
PAID ($0.01): AI analysis of one URL — task is classification, accessibility, layout, entities or sentiment.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | Absolute http(s) URL to fetch | |
| task | Yes | What to analyze |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses the $0.01 cost, but does not state whether the tool is read-only, what it does with the fetched URL, or what the output will look like.
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 sentence that front-loads the key facts (cost, operation, target, task types) with no filler. Every element earns its place.
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?
There is no output schema and the description says nothing about the return value or format of the analysis, which is central to an analysis tool. The cost warning helps, but the overall context is incomplete for a two-parameter tool without annotations.
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 100%, so the schema already documents both parameters. The description adds no parameter-level detail beyond restating the enum values exactly as they appear in the schema.
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 operation (AI analysis) on one URL and enumerates the five task categories, which aligns with the task enum. It is clear, though it does not explicitly differentiate this tool from siblings like webcap_extract or webcap_audit.
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 given on when to prefer this tool over the many webcap siblings, nor any exclusions. The task list implies use cases but does not provide a decision rule or mention alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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