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excel_to_txt

Convert Excel spreadsheets (XLS, XLSX) to plain text. Optionally specify a worksheet index to extract specific data.

Instructions

Convert Excel(XLS, XLSX) to TXT.
Ref: https://developer.pdf.co/api-reference/convert-from-excel/text.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 main handler for the 'excel_to_txt' tool. Decorated with @mcp.tool(), it accepts parameters (url, httpusername, httppassword, name, worksheetIndex, api_key) and delegates to convert_to('xls', 'txt', ...) to perform the conversion.
    @mcp.tool()
    async def excel_to_txt(
        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 TXT.
        Ref: https://developer.pdf.co/api-reference/convert-from-excel/text.md
        """
        return await convert_to(
            "xls",
            "txt",
            ConversionParams(
                url=url,
                httpusername=httpusername,
                httppassword=httppassword,
                name=name,
                worksheetIndex=worksheetIndex,
                api_key=api_key,
            ),
        )
  • The tool is registered using the @mcp.tool() decorator on the excel_to_txt function, which is imported from pdfco/mcp/server.py.
    @mcp.tool()
  • Input parameters are defined inline using Pydantic's Field() with descriptions and defaults. The response type is BaseResponse, defined in models.py.
    @mcp.tool()
    async def excel_to_txt(
        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 TXT.
        Ref: https://developer.pdf.co/api-reference/convert-from-excel/text.md
        """
        return await convert_to(
            "xls",
            "txt",
            ConversionParams(
                url=url,
                httpusername=httpusername,
                httppassword=httppassword,
                name=name,
                worksheetIndex=worksheetIndex,
                api_key=api_key,
            ),
        )
  • The convert_to helper function which excel_to_txt calls. It constructs the API endpoint as "xls/convert/to/txt" and delegates to the 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)
  • The ConversionParams data model used to pass parameters (url, httpusername, httppassword, name, worksheetIndex, etc.) to the convert_to service.
    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",
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits (e.g., file size limits, authentication requirements, side effects). The reference link may provide details, but the description itself is insufficient.

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 a single sentence and a reference link. It is front-loaded but relies on an external reference for important details, slightly reducing self-contained conciseness.

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 tool has 6 parameters and no output schema, the description lacks important context such as the output format (e.g., how TXT is returned) and any behavior differences from siblings. It is incomplete for an agent to use effectively without external resources.

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?

The input schema has 100% description coverage, so the schema already explains each parameter. The description does not add any additional meaning beyond the schema, justifying the baseline score of 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool converts Excel files (XLS, XLSX) to TXT, using a specific verb and resource. This distinguishes it from sibling tools that convert to other formats (e.g., excel_to_csv, excel_to_pdf).

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?

The description provides no guidance on when to use this tool vs alternatives, such as excel_to_csv or excel_to_pdf. It only states the conversion action without any context or exclusions.

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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