observe_mcp_events

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 does explain that the tool scans for PII, hidden instructions, and agentic/external flow, which gives insight into its function. However, it does not explicitly state whether the tool is read-only, has side effects, or requires network access. The term 'observe' implies passivity, but this is not confirmed.

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, well-structured sentence that delivers the core purpose upfront and appends the specific detection targets. It contains no superfluous words and is highly efficient, making it easy for an agent to parse 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 absence of an output schema and annotations, the description should at least hint at what the tool returns. It does not mention output format or return values. Additionally, it fails to explain the role of the optional 'label' parameter. For a tool with only two parameters, the description is reasonably complete for the primary action but leaves critical context gaps for a fully informed call.

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 parameter clarity. The description implies that the 'text' parameter contains JSONL events (from 'Observe MCP runtime/proxy JSONL events'), but it does not explicitly map description content to parameters, and the 'label' parameter is completely unexplained. This leaves the agent uncertain about parameter formatting and purpose.

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 (observe) and the resource (MCP runtime/proxy JSONL events) and specifies the focus (PII, hidden instructions, agentic/external flow). This distinguishes it from sibling tools like 'observe_mcp_event' (singular) and 'enforce_mcp_events' (different action) without needing to inspect their schemas.

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 does not provide any guidance on when to use this tool versus alternatives. It does not mention specific scenarios or indicate conditions where a different tool would be more appropriate. No exclusions or alternative references are given.

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