document_to_verified_json
Public text, HTML, JSON or XML normalized to source-backed JSON; no OCR; 0.010 USDC.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| source_urls | Yes | ||
| expected_fields | No |
Public text, HTML, JSON or XML normalized to source-backed JSON; no OCR; 0.010 USDC.
| Name | Required | Description | Default |
|---|---|---|---|
| source_urls | Yes | ||
| expected_fields | No |
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 behavioral burden. It usefully discloses accepted input formats, the source-backed nature of the output, the lack of OCR support, and the price. However, it does not describe failure modes, rate limits, processing guarantees, or whether any action is taken beyond normalization.
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 very short and front-loaded, with the core transformation stated first, followed by the OCR limitation and cost. Every clause adds useful information. It is slightly too terse given the unexplained expected_fields parameter, but the structure itself is efficient.
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?
The tool has two parameters, no annotations, no output schema, and only a one-sentence description. The description fails to explain expected_fields, input URL semantics, output shape, or behavioral constraints beyond OCR. An agent cannot confidently invoke this tool correctly from the provided information.
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 0%, so the description must clarify the parameters. It indirectly describes source_urls as public text/HTML/JSON/XML sources, but it does not explain expected_fields at all, and gives no hint about their format, purpose, or relationship to the output. This leaves a required part of the contract unexplained.
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 resource (public text, HTML, JSON, XML) and the result (source-backed JSON). It positions the tool as a normalizer/converter and adds a differentiating constraint ('no OCR'). It does not explicitly distinguish it from siblings such as source_backed_search or verified_web_extract, but the core purpose is clear.
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 phrase 'Public text, HTML, JSON or XML' and 'no OCR' imply the tool is for public non-image document conversion, but there is no explicit statement of when to use this tool versus a sibling, and no mention of when not to use it. No alternatives or routing conditions are provided.
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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