MCP Server with OpenAI Integration

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 states the tool searches a knowledge base, implying a read-only operation, but doesn't disclose any behavioral traits like what happens with no results, whether it supports pagination or sorting, or any rate limits or authentication needs. This leaves significant gaps for an AI agent.

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 a single, efficient sentence that directly states the tool's purpose without any unnecessary words. It is appropriately sized and front-loaded, making it easy to understand quickly.

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 complexity (a search tool with no annotations, no output schema, and low schema coverage), the description is incomplete. It lacks information on behavioral traits, usage guidelines, and parameter details, making it insufficient for an AI agent to fully understand how to invoke and interpret results from this tool.

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 schema description coverage is 0%, so the description must compensate for the lack of parameter documentation. It mentions 'query' implicitly by describing the search action, but doesn't add specific meaning beyond what the schema provides (e.g., no details on query syntax, expected formats, or examples). With one parameter and low coverage, this is a minimal baseline.

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 action ('Searches') and the resource ('curated knowledge base snippets stored as markdown files'), providing a specific verb+resource combination. However, it doesn't explicitly differentiate from its sibling 'text_summarizer', which is a different function but could be related in some contexts.

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 no guidance on when to use this tool versus alternatives, such as the sibling 'text_summarizer'. It lacks any context about when this search tool is appropriate or when other tools might be better suited, offering only a basic functional statement.

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