Subscribe Context Changes

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

Annotations indicate a non-read-only, non-destructive operation, but the description adds no detail on side effects, subscription lifecycle, delivery mechanism, or whether it returns a stream or ID. The phrase 'constant O(1) LLM coordination' is not a behavioral disclosure.

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 sentence and succinct, but it uses undefined acronyms and vague language that undermines clarity. It could be restructured to front-load the plain-English purpose.

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?

With no output schema and a subscription-oriented operation, the description omits critical information such as return format, subscription termination, and event payloads. The concise text does not sufficiently cover the tool's operational context.

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 provides complete descriptions for all three optional parameters. The tool description adds no additional meaning or usage examples beyond the schema fields.

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 identifies the action 'subscribe' and the target 'CA-MCP state reactor triggers,' but does so in jargon without plain-language explanation. It does not distinguish from similar sibling tools like watch_graph_changes.

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 is provided on when to use this tool, what scenarios it fits, or how it compares to alternative change-tracking tools. The description solely states what it does, not when to choose it.

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