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CaptureOneAI Web Perception

Capture page context

capture_context

Returns the structured representation of a web page: visible text with coordinates, interactive elements, forms and tables. Use this to let an agent read and understand a page without parsing raw HTML.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe page to read
widthNo
heightNo
dismissCookiesNoAuto-dismiss cookie/consent banners before reading. Default true.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the behavioral disclosure burden. It discloses that the operation returns structured page content and frames the action as reading, which implies a non-destructive operation, but it does not mention page-loading behavior, rendering side effects, cookie handling, error conditions, or return details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded: the core result and its contents come first, followed by the intended use case. Both sentences earn their place with no filler or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description needs to convey more about what the agent can expect back, but it only enumerates content categories without format details. It also lacks disambiguation from find_elements and fails to explain viewport parameters or behavior for dynamic or cookie-banner pages.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 50%, with width and height lacking descriptions. The tool description does not compensate for these undocumented parameters or add meaning beyond what the schema already provides for url and dismissCookies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool returns a structured representation of a web page and lists the kinds of content included. It is specific about verb and resource, though it does not explicitly distinguish itself from sibling tools like find_elements beyond the general framing of 'read and understand a page.'

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives an explicit use case: let an agent read and understand a page without parsing raw HTML. It does not mention when to prefer alternative sibling tools or when not to use it, but the intended context is reasonably clear.

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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