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mcp-server

by atamayop2018
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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scrape_websites

Scrape content from multiple websites using Firecrawl and store it for analysis. Specify URLs and choose output formats like markdown or HTML.

Instructions

Scrape multiple websites using Firecrawl and store their content.

Args: websites: Dictionary of provider_name -> URL mappings formats: List of formats to scrape ['markdown', 'html'] (default: both) api_key: Firecrawl API key (if None, expects environment variable)

Returns: List of provider names for successfully scraped websites

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "websites": "<websites>"
    },
    "name": "scrape_websites"
  }
}

Input Schema

NameRequiredDescriptionDefault
api_keyNo
formatsNo
websitesYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.5/5.0
Behavior1/5

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

With no annotations, the description carries the full burden of disclosing side effects, limitations, or persistence. It only mentions that content is 'stored,' but does not elaborate on any I/O implications, error handling, or whether the operation is read-only. This is insufficient for an agent to anticipate the tool's behavior.

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 concise and to the point, using a single sentence to convey the primary action and then listing parameters without unnecessary verbosity. It is easily scannable and does not waste words, though it could be slightly richer without losing brevity.

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 (nested objects, multiple parameters, and an output schema), the description is incomplete. It does not explain the semantics of the returned list of provider names, potential failure cases, or how the output relates to the input. The presence of a sibling tool also suggests a broader workflow that is not addressed, leaving the agent with gaps in understanding the tool's place in a larger process.

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

Parameters2/5

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

The description adds minimal meaning beyond the schema. It restates that 'websites' is a dictionary of provider_name to URL, but does not explain the purpose of provider_name, the valid values for 'formats' (beyond examples), or the fallback behavior when 'api_key' is None. Since schema coverage is 0%, the description should have compensated but does not.

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 action (scrape multiple websites) and the resource (websites), and mentions the use of Firecrawl and content storage. It is specific enough to understand the tool's primary function, though it could be clearer about how it differs from the sibling tool 'extract_scraped_info'.

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 the sibling tool 'extract_scraped_info'. It does not mention that this tool is for raw scraping while the sibling is for extracting structured information, leaving the agent to infer the appropriate context without explicit instructions.

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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