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AIsa On-Page Audit

OnPage API Content Parsing

post_dataforseo_on_page_content_parsing
Destructive

This endpoint allows parsing the content on any page you specify and will return the structured content of the target page, including link URLs, anchors, headings, and textual content.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.5/5.0
Behavior1/5

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

The description frames this as a benign retrieval ('parsing the content ... will return the structured content'), while the annotations declare readOnlyHint=false and destructiveHint=true with openWorldHint=true. That safety profile is nowhere acknowledged in the text, and the credit/billing and task-based execution model behind a POST endpoint are also undisclosed. The description actively contradicts the annotation safety signal.

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

Conciseness4/5

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

A single sentence, front-loaded with the endpoint's action, and the returned-fields list is packed efficiently with no padding. It could be shortened or split only marginally; there is no wasted text.

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?

An output schema exists, so return values need not be re-explained, but for a task-queue POST endpoint with a nested required body and destructive annotations the description omits the async workflow, the id prerequisite, and any cost implication. An agent cannot safely call this from the description alone.

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?

Only one top-level parameter (body) and the signaled schema description coverage is 0%, so the description is the only place param meaning could be filled in — and it only offers 'any page you specify.' It says nothing about the required task id, the array-of-objects shape, or the markdown_view flag, though the nested schema does carry some of that detail.

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 states a specific verb and resource (parsing page content) and enumerates the returned artifacts (link URLs, anchors, headings, textual content). That is enough to distinguish it from most siblings, but it never explicitly contrasts itself with post_dataforseo_on_page_raw_html or post_dataforseo_on_page_links, which an agent could easily confuse with a 'structured content' endpoint.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no named alternative, and no mention of the prerequisite that the referenced task must have been created by the Task POST endpoint with enable_content_parsing set to true. The agent must infer usage context entirely on its own.

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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