PDFメタデータ標準化
pdf-to-pdfaメタデータ標準化・長期保存最適化 (Browser-based tool)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
pdf-to-pdfaメタデータ標準化・長期保存最適化 (Browser-based tool)
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure, but it only states a vague goal. It does not mention whether the tool converts the file, how it handles uploads/downloads, whether the operation is destructive, or any limitations. The lack of explicit 'conversion' or 'output' language leaves key behavioral aspects undisclosed.
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 short and free of excess words, which is concise. However, it is a fragmented noun phrase rather than a structured sentence, and it does not convey enough information to earn full credit for being well-structured. It is minimal but under-specified.
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?
For a tool that likely takes a PDF and outputs a PDF/A file, the description omits input/output details, the nature of the conversion, and any side effects or limitations. With no annotations and no output schema, the description should explain these basics but does not. It is incomplete for an AI to confidently invoke the tool.
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 input schema has zero parameters, so there are no parameter semantics to clarify. The description adds no parameter-specific meaning, but the absence of parameters means this dimension is not a concern. The baseline score of 4 reflects that the description is not required to compensate for schema gaps in this case.
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 'メタデータ標準化・長期保存最適化' (metadata standardization / long-term preservation optimization) hints at the purpose of PDF/A conversion but never explicitly states 'convert to PDF/A' or uses a verb like 'convert'. It is a noun phrase that conveys an outcome rather than an action, and while it is somewhat distinct from sibling PDF tools, it lacks specificity about the actual operation.
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?
There is no guidance on when to use this tool versus alternatives like pdf-compress or pdf-to-image. The only additional phrase 'Browser-based tool' indicates execution environment but not selection criteria, prerequisites, or exclusion cases. No alternatives or conditions are mentioned.
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 overlapping purposes, such as bg-remover, bg-remover-pro, pro-matting, and takumi all performing background removal, and upscaler/upscaler-pro being redundant. With 202 tools, an agent may easily select the wrong one despite detailed descriptions.
Most tools use a consistent kebab-case format with descriptive names like pdf-compress, image-resizer, and tax-return-calc. Exceptions like 'takumi', 'pro-matting', and '-pro' suffixes (bg-remover-pro, upscaler-pro) are minor deviations relative to the total.
202 tools is an extreme mismatch for an MCP server, far exceeding the typical 3-15 well-scoped range. The sheer volume makes it unwieldy for an agent to efficiently navigate and select the right tool.
The tool set provides extensive coverage across many domains, including PDF operations (20+ tools), image editing, financial calculations, e-commerce fee estimation, and YouTube utilities. Minor gaps exist in cross-tool integration, but the breadth is highly comprehensive for the apparent purpose.