stop_monitoring

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 mentions 'return summary' but provides no detail on what the summary contains, whether monitoring data is cleared, or if the tool modifies state. This is particularly insufficient for a tool that stops an ongoing process.

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 extremely concise at 5 words, with no unnecessary text. It immediately conveys the core action and output, making it efficient for quick parsing.

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 output schema or annotations, the description is too minimal. It does not explain what the summary consists of, how it is structured, or whether the tool is destructive. Agents need more context to use this tool effectively in a sequence.

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?

There are no parameters, so the schema coverage is 100%. The description adds value by clarifying that the tool returns a summary, which is not evident from the empty schema. This is a meaningful semantic addition.

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 ('stop monitoring') and the output ('return summary'). It effectively distinguishes from siblings like 'start_monitoring' by using the opposite verb.

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?

No guidance on when to use this tool versus alternatives like 'get_performance_metrics' or 'get_console_messages'. It does not specify prerequisites (e.g., that monitoring must be active) or post-conditions.

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