Fill YOUR JSON schema from any URL (hybrid LLM + deterministic canonicalization). $0.03/call.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | ||
| schema | Yes | {key: description} pairs | |
| x_payment | No | Optional: base64 X-PAYMENT header value (x402 exact scheme, USDC on Base mainnet). Omit it to receive the payment requirements (accepts[] + docs) for this call without being charged. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the hybrid approach ('hybrid LLM + deterministic canonicalization') and the cost ('$0.03/call'), which adds some behavioral context. However, it does not mention authentication/payment requirements, error handling, rate limits, or what happens when the X-PAYMENT header is omitted. Since no annotations are provided, the description carries the full disclosure burden but falls short.
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 extremely concise: one sentence plus a cost flag. It is front-loaded with the primary action and includes only essential extra information. Every word earns its place, with no redundant filler.
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 the tool's complexity (nested objects, no output schema, no annotations), the description is too sparse. It does not explain the expected return format, the payment flow (e.g., that omitting x_payment returns payment requirements), or how the schema parameter is used in more detail. This makes it insufficient for an agent to confidently invoke the tool without consulting external schema details.
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 schema covers 67% of parameters with descriptions (schema and x_payment), but the tool description adds little beyond restating the concept of filling a JSON schema. The 'url' parameter has no schema description and the tool description does not clarify URL format or constraints. The x_payment parameter is adequately described in the schema, but the description fails to compensate for the remaining gaps.
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 uses a specific verb+resource pattern: 'Fill YOUR JSON schema from any URL' indicating a schema-guided extraction. It conveys the core functionality clearly. However, it does not explicitly distinguish itself from sibling tools like extract_url or parse_document, though the mention of 'YOUR JSON schema' implies a user-defined output format.
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 to use this tool versus alternatives. It states generic capability ('from any URL') but does not mention exclusions, prerequisites, or when a different tool would be more appropriate. There is no explicit 'use when' or 'use instead' context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Multiple tools have unclear boundaries: document_pipeline and parse_document both parse PDFs, portrait_analysis and style_profile both perform color analysis, enrich_company and jp_company_profile both resolve company profiles, and jp_payroll_suite bundles capabilities that already exist as separate tools. Descriptions are detailed, but an agent must carefully compare several near-synonyms before selecting.
All names are snake_case, but the conventions are mixed: get_* for metadata, jp_* for Japan-specific calculations, pdf_* for PDF operations, plus standalone nouns like meal_vision and style_profile. The prefixes help readability, but there is no uniform verb_noun pattern and ordering is inconsistent (quote_parse vs parse_document).
35 tools is far above the well-scoped 3-15 range and indicates an aggregator/marketplace rather than a focused server. Even with clear individual descriptions, the sheer breadth across OCR, PDF, Japan tax, style, and marketplace functions makes the tool set feel heavy and harder to navigate.
Within its broad marketplace scope, the server is fairly complete: paid products have free samples (get_sample), quotes (quote_parse), receipt retrieval (get_receipt), and discovery via get_catalog and search_x402_services. PDF and Japan tax coverage are extensive, though the wide domain spread means no single area feels fully exhaustive.