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download_from_url

Download audio files from URLs for analysis in the MCP audio analysis server. Provides file paths for processing without revealing song names.

Instructions

Downloads a file from a given URL and returns the path to the downloaded file. Be careful, you will never know the name of the song.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes

Implementation Reference

  • The main implementation of the download_from_url tool. It downloads the audio file from the provided URL using requests, checks if it's an audio file (.mp3 or .wav), saves it to a temporary directory, and returns the local file path. Registered via @mcp.tool() decorator.
    @mcp.tool()
    def download_from_url(url: str) -> str:
        """
        Downloads a file from a given URL and returns the path to the downloaded file.
        Be careful, you will never know the name of the song.
        """
    
        # mettre une exception si ce n'est pas un fichier audio !
        if not url.endswith(".mp3") and not url.endswith(".wav"):
            raise ValueError(f"URL: {url} is not a valid audio file")
    
        response = requests.get(url)
        if response.status_code == 200:
            file_path = os.path.join(tempfile.gettempdir(), "downloaded_file")
            with open(file_path, "wb") as file:
                file.write(response.content)
            return file_path
        else:
            raise ValueError(f"Failed to download file from URL: {url}")
  • The tool signature as listed in the analyze_audio prompt, defining input (url: str) and output (str).
    "- download_from_url(url: str) -> str\n"
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool downloads a file and returns a path, which covers basic functionality, but lacks critical details: it doesn't specify file size limits, supported URL protocols, error handling, storage location, or whether it overwrites existing files. The warning about song names is vague and doesn't clarify behavioral traits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is brief with two sentences, but the second sentence 'Be careful, you will never know the name of the song' is confusing and doesn't add clear value, reducing efficiency. The first sentence is front-loaded and informative, but overall structure could be improved by removing or clarifying the cryptic warning.

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 no annotations, no output schema, and low schema coverage, the description is incomplete for a download tool. It lacks details on return values (e.g., path format), error conditions, supported file types, or security considerations. The sibling tools suggest audio processing context, but the description doesn't explain how this fits into that 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?

The input schema has 0% description coverage, so the description must compensate. It mentions 'a given URL', which adds meaning to the 'url' parameter by indicating it should be a downloadable URL. However, it doesn't provide details on URL format requirements, validation, or examples. With one parameter and low schema coverage, this is adequate but minimal.

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 verb ('Downloads') and resource ('a file from a given URL'), specifying what the tool does. It distinguishes from siblings like 'download_from_youtube' by not being platform-specific. However, it doesn't explicitly differentiate from other download tools beyond the URL source.

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 versus alternatives like 'download_from_youtube' or 'load'. The cryptic warning 'Be careful, you will never know the name of the song' is unclear and doesn't offer practical usage context. No explicit when/when-not instructions or prerequisites are given.

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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