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 does reveal the derivation logic (heartbeat freshness vs latest pull check), which is meaningful. However, it does not explicitly state that the operation is read-only or discuss auth, rate limits, or failure behavior, leaving some safety context implicit in the word 'get'.

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 one tightly worded sentence that front-loads the object being fetched and then adds the key derivation distinction in a dependent clause. There is no filler, repetition of the schema, or irrelevant detail.

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?

For a single-parameter read tool with an output schema, the description covers the essential scoping and derivation behavior. The main gap is that it does not explicitly route the agent away from get_agent for general agent info, though the 'health' scope and sibling names make that inference straightforward.

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?

Schema description coverage is 100%, so the baseline is 3. The single slug parameter is already well documented in the schema as a URL slug from a public profile or list_agents result. The description itself adds no further parameter-level semantics.

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 names a specific verb and resource: get one agent's current effective health status and monitoring detail. It also clarifies the derivation basis (heartbeat freshness vs pull check), which distinguishes it from the sibling get_agent (general agent info) and send_heartbeat (a write action).

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 gives clear context for when the tool is relevant: health monitoring for push-mode agents versus pull-mode agents. It does not explicitly name alternatives or state when not to use it, so exclusion guidance is left to inference, but the health-focused wording makes the intended use reasonably clear.

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