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excel_to_csv

Convert Excel files (XLS, XLSX) to CSV format for data analysis and integration. Process files from URLs, Google Drive, or Dropbox.

Instructions

Convert Excel(XLS, XLSX) to CSV.
Ref: https://developer.pdf.co/api-reference/convert-from-excel/csv.md

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to the source file (XLS, XLSX). Supports publicly accessible links including Google Drive, Dropbox, PDF.co Built-In Files Storage. Use 'upload_file' tool to upload local files.
httpusernameNoHTTP auth user name if required to access source url. (Optional)
httppasswordNoHTTP auth password if required to access source url. (Optional)
nameNoFile name for the generated output. (Optional)
worksheetIndexNoIndex of the worksheet to convert. (Optional)
api_keyNoPDF.co API key. If not provided, will use X_API_KEY environment variable. (Optional)

Implementation Reference

  • The core handler function for the 'excel_to_csv' MCP tool. Includes @mcp.tool() decorator for automatic registration, input schema validation via Pydantic Field annotations, and execution logic delegating to the generic convert_to helper.
    @mcp.tool()
    async def excel_to_csv(
        url: str = Field(
            description="URL to the source file (XLS, XLSX). Supports publicly accessible links including Google Drive, Dropbox, PDF.co Built-In Files Storage. Use 'upload_file' tool to upload local files."
        ),
        httpusername: str = Field(
            description="HTTP auth user name if required to access source url. (Optional)",
            default="",
        ),
        httppassword: str = Field(
            description="HTTP auth password if required to access source url. (Optional)",
            default="",
        ),
        name: str = Field(
            description="File name for the generated output. (Optional)", default=""
        ),
        worksheetIndex: str = Field(
            description="Index of the worksheet to convert. (Optional)", default=""
        ),
        api_key: str = Field(
            description="PDF.co API key. If not provided, will use X_API_KEY environment variable. (Optional)",
            default="",
        ),
    ) -> BaseResponse:
        """
        Convert Excel(XLS, XLSX) to CSV.
        Ref: https://developer.pdf.co/api-reference/convert-from-excel/csv.md
        """
        return await convert_to(
            "xls",
            "csv",
            ConversionParams(
                url=url,
                httpusername=httpusername,
                httppassword=httppassword,
                name=name,
                worksheetIndex=worksheetIndex,
                api_key=api_key,
            ),
        )
  • Generic conversion helper invoked by excel_to_csv, constructs PDF.co API endpoint '/xls/convert/to/csv' and calls the low-level request function.
    async def convert_to(
        _from: str, _to: str, params: ConversionParams, api_key: str | None = None
    ) -> BaseResponse:
        return await request(f"{_from}/convert/to/{_to}", params, api_key=api_key)
  • Pydantic model defining shared input parameters (e.g., url, name, worksheetIndex) for conversion tools including excel_to_csv. Includes parse_payload method to construct API request payload.
    class ConversionParams(BaseModel):
        url: str = Field(
            description="URL to the source file. Supports publicly accessible links including Google Drive, Dropbox, PDF.co Built-In Files Storage. Use 'upload_file' tool to upload local files.",
            default="",
        )
        httpusername: str = Field(
            description="HTTP auth user name if required to access source url. (Optional)",
            default="",
        )
        httppassword: str = Field(
            description="HTTP auth password if required to access source url. (Optional)",
            default="",
        )
        pages: str = Field(
            description="Comma-separated page indices (e.g., '0, 1, 2-' or '1, 3-7'). Use '!' for inverted page numbers (e.g., '!0' for last page). Processes all pages if None. (Optional)",
            default="",
        )
        unwrap: bool = Field(
            description="Unwrap lines into a single line within table cells when lineGrouping is enabled. Must be true or false. (Optional)",
            default=False,
        )
        rect: str = Field(
            description="Defines coordinates for extraction (e.g., '51.8,114.8,235.5,204.0'). (Optional)",
            default="",
        )
        lang: str = Field(
            description="Language for OCR for scanned documents. Default is 'eng'. See PDF.co docs for supported languages. (Optional, Default: 'eng')",
            default="eng",
        )
        line_grouping: str = Field(
            description="Enables line grouping within table cells when set to '1'. (Optional)",
            default="0",
        )
        password: str = Field(
            description="Password of the PDF file. (Optional)", default=""
        )
        name: str = Field(
            description="File name for the generated output. (Optional)", default=""
        )
        autosize: bool = Field(
            description="Controls automatic page sizing. If true, page dimensions adjust to content. If false, uses worksheet’s page setup. (Optional)",
            default=False,
        )
    
        html: str = Field(
            description="Input HTML code to be converted. To convert the link to a PDF use the /pdf/convert/from/url endpoint instead.",
            default="",
        )
        templateId: str = Field(
            description="Set to the ID of your HTML template. You can find and copy the ID from HTML to PDF Templates.",
            default="",
        )
        templateData: str = Field(
            description="Set it to a string with input JSON data (recommended) or CSV data.",
            default="",
        )
        margins: str = Field(
            description="Set to CSS style margins like 10px, 5mm, 5in for all sides or 5px 5px 5px 5px (the order of margins is top, right, bottom, left). (Optional)",
            default="",
        )
        paperSize: str = Field(
            description="A4 is set by default. Can be Letter, Legal, Tabloid, Ledger, A0, A1, A2, A3, A4, A5, A6 or a custom size. Custom size can be set in px (pixels), mm or in (inches) with width and height separated by space like this: 200 300, 200px 300px, 200mm 300mm, 20cm 30cm or 6in 8in. (Optional)",
            default="",
        )
        orientation: str = Field(
            description="Set to Portrait or Landscape. Portrait is set by default. (Optional)",
            default="",
        )
        printBackground: bool = Field(
            description="true by default. Set to false to disable printing of background. (Optional)",
            default=True,
        )
        mediaType: str = Field(
            description="Uses print by default. Set to screen to convert HTML as it appears in a browser or print to convert as it appears for printing or none to set none as mediaType for CSS styles. (Optional)",
            default="",
        )
        DoNotWaitFullLoad: bool = Field(
            description="false by default. Set to true to skip waiting for full load (like full video load etc. that may affect the total conversion time). (Optional)",
            default=False,
        )
        header: str = Field(
            description="User definable HTML for the header to be applied on every page header. (Optional)",
            default="",
        )
        footer: str = Field(
            description="User definable HTML for the footer to be applied on every page footer. (Optional)",
            default="",
        )
    
        worksheetIndex: str = Field(
            description="Index of the worksheet to convert. (Optional)", default=""
        )
    
        def parse_payload(self, async_mode: bool = True):
            payload = {
                "async": async_mode,
            }
            if self.url:
                payload["url"] = self.url
            if self.httpusername:
                payload["httpusername"] = self.httpusername
            if self.httppassword:
                payload["httppassword"] = self.httppassword
            if self.pages:
                payload["pages"] = self.pages
            if self.unwrap:
                payload["unwrap"] = self.unwrap
            if self.rect:
                payload["rect"] = self.rect
            if self.lang:
                payload["lang"] = self.lang
            if self.line_grouping:
                payload["lineGrouping"] = self.line_grouping
            if self.password:
                payload["password"] = self.password
            if self.name:
                payload["name"] = self.name
            if self.autosize:
                payload["autosize"] = self.autosize
    
            if self.html:
                payload["html"] = self.html
            if self.templateId:
                payload["templateId"] = self.templateId
            if self.templateData:
                payload["templateData"] = self.templateData
            if self.margins:
                payload["margins"] = self.margins
            if self.paperSize:
                payload["paperSize"] = self.paperSize
            if self.orientation:
                payload["orientation"] = self.orientation
            if self.printBackground:
                payload["printBackground"] = self.printBackground
            if self.mediaType:
                payload["mediaType"] = self.mediaType
            if self.DoNotWaitFullLoad:
                payload["DoNotWaitFullLoad"] = self.DoNotWaitFullLoad
            if self.header:
                payload["header"] = self.header
            if self.footer:
                payload["footer"] = self.footer
    
            if self.worksheetIndex:
                payload["worksheetIndex"] = self.worksheetIndex
    
            return payload
  • Low-level HTTP request helper that performs the async POST to PDF.co API, handles response parsing into BaseResponse, and provides job completion tips.
    async def request(
        endpoint: str,
        params: ConversionParams,
        custom_payload: dict | None = None,
        api_key: str | None = None,
    ) -> BaseResponse:
        payload = params.parse_payload(async_mode=True)
        if custom_payload:
            payload.update(custom_payload)
    
        try:
            async with PDFCoClient(api_key=api_key) as client:
                url = f"/v1/{endpoint}"
                print(f"Requesting {url} with payload {payload}", file=sys.stderr)
                response = await client.post(url, json=payload)
                print(f"response: {response}", file=sys.stderr)
                json_data = response.json()
                return BaseResponse(
                    status="working",
                    content=json_data,
                    credits_used=json_data.get("credits"),
                    credits_remaining=json_data.get("remainingCredits"),
                    tips=f"You **should** use the 'wait_job_completion' tool to wait for the job [{json_data.get('jobId')}] to complete if a jobId is present.",
                )
        except Exception as e:
            return BaseResponse(
                status="error",
                content=f"{type(e)}: {[arg for arg in e.args if arg]}",
            )
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions conversion but doesn't describe key behavioral traits such as whether this is a read-only operation, if it requires authentication (beyond optional HTTP auth parameters), rate limits, error handling, or what the output looks like (e.g., file download link, content). The reference link adds some context but isn't integrated into the description itself.

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?

The description is very concise with two sentences: one stating the purpose and one providing a reference link. It's front-loaded with the core functionality. However, the reference link could be integrated more smoothly, and it lacks structural elements like bullet points or examples that might enhance clarity without adding bulk.

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?

Given the complexity (conversion tool with 6 parameters, no annotations, and no output schema), the description is incomplete. It doesn't explain the output (e.g., how to access the converted CSV file), error conditions, or behavioral constraints. While the schema covers parameters well, the description fails to provide necessary context for effective tool invocation in a broader workflow.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description doesn't add any meaningful parameter semantics beyond what's in the schema (e.g., it doesn't explain how 'worksheetIndex' works or provide examples). With high schema coverage, the baseline is 3, and the description doesn't compensate with additional insights.

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's purpose: 'Convert Excel(XLS, XLSX) to CSV.' It specifies the input formats (XLS, XLSX) and output format (CSV), which is a specific verb+resource combination. However, it doesn't explicitly differentiate from sibling tools like 'excel_to_json' or 'excel_to_pdf' beyond the output format mentioned in the name.

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

Usage Guidelines3/5

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

The description provides some implied usage context by mentioning a reference link and specifying input formats, but it lacks explicit guidance on when to use this tool versus alternatives like 'excel_to_json' or 'excel_to_pdf'. It doesn't mention scenarios where CSV output is preferred over other formats or any prerequisites beyond the URL parameter.

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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