Check In-House Sentinel AI Status

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so 'modifies no state' largely restates them. The genuinely additive detail is that no account or authentication is needed, which no annotation conveys and which changes how an agent sequences the call.

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?

Three short sentences: purpose first, safety/precondition second, sibling disambiguation third. No filler and the most decision-relevant content leads.

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?

Return values are covered by the existing output schema, and the safety profile is covered by annotations, so the description only needs to establish purpose, preconditions and alternatives 4 which it does. Nothing an agent needs to call this correctly is missing.

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 tool takes no parameters, so there is nothing for the description to disambiguate beyond confirming there are no required inputs. Baseline 4 applies for a zero-parameter tool.

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?

Names a specific verb (Check) and resource (Sentinel's configuration and inference verification status), plus scopes it to the model health endpoint. It explicitly separates itself from socialwtf_status and socialwtf_sentinel_chat, so an agent can pick it without opening any schema.

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 names two concrete alternatives and states what each one does instead (identity/messaging flags vs. a live conversation turn), which is exactly the routing signal needed in a 28-tool sibling set. It also flags that no account is required, removing a precondition question before invocation.

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