Bright Data Web MCP

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

No annotations are provided, so the description carries the full burden. It discloses that the tool reads data (implied read-only), requires a valid URL, and may use caching for reliability. However, it doesn't cover other behavioral aspects like rate limits, error handling, authentication needs, or what 'structured data' entails in the output. The description adds some value but leaves significant gaps.

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 concise with three sentences that each add value: stating the purpose, input requirement, and a behavioral trait (caching). It's front-loaded with the core purpose. There's minimal waste, though it could be slightly more structured (e.g., bullet points).

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?

Given no annotations, no output schema, and low schema coverage (0%), the description provides basic context: purpose, input requirement, and a reliability hint. However, for a tool that reads data from a specific source, it lacks details on output format, error cases, or how it differs from other data-fetching siblings. It's minimally adequate but has clear gaps in completeness.

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?

Schema description coverage is 0%, with one parameter ('url') documented only by type and format in the schema. The description adds meaning by specifying 'Requires a valid yahoo finance business URL,' clarifying the expected content of the URL parameter. This compensates partially for the low schema coverage, but doesn't provide examples or further details on URL format or constraints.

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 clearly states the tool's purpose: 'Quickly read structured yahoo finance business data.' It specifies the verb ('read'), resource ('yahoo finance business data'), and quality ('structured'). However, it doesn't explicitly distinguish this from sibling tools like 'extract' or other web_data_* tools that might also read structured data from different sources.

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?

The description provides some usage context: 'Requires a valid yahoo finance business URL' and 'This can be a cache lookup, so it can be more reliable than scraping.' This implies when to use it (for Yahoo Finance business data) and hints at an advantage over scraping tools. However, it doesn't explicitly state when to choose this over other sibling tools like 'scrape_as_html' or 'web_data_*' tools for other platforms.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.