SearXNG MCP Server

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 reading content but fails to disclose critical traits like whether it handles authentication, rate limits, error conditions (e.g., invalid URLs), content types (e.g., HTML, text), or any side effects. This leaves significant gaps in understanding 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.

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

The description is concise with two sentences that directly state the tool's function and usage, with no wasted words. However, it could be slightly more front-loaded by leading with the core purpose more explicitly, but overall it's efficient and well-structured.

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 the tool's complexity (a web content reader with no annotations and no output schema), the description is incomplete. It doesn't explain what the tool returns (e.g., raw HTML, parsed text), error handling, or limitations, which are crucial for an AI agent to use it correctly. The lack of output schema exacerbates this gap, making the description insufficient for full contextual understanding.

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?

The input schema has 100% description coverage, with the 'url' parameter documented as 'URL'. The description adds no additional meaning beyond this, such as format requirements (e.g., must include http://) or examples. Given the high schema coverage, the baseline score of 3 is appropriate, as the schema does the heavy lifting without extra value from the description.

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 with a specific verb ('Read') and resource ('content from an URL'), making it understandable. However, it doesn't explicitly distinguish this from its sibling tool 'searxng_web_search', which appears to be a search tool rather than a direct URL content reader, so it misses full sibling differentiation.

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 implied usage guidance by stating 'Use this for further information retrieving to understand the content of each URL,' suggesting it's for post-search content analysis. However, it lacks explicit when-to-use vs. when-not-to-use instructions or named alternatives, such as clarifying if it's for web pages only or how it differs from the sibling search tool.

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