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

Annotations already declare readOnlyHint=true and destructiveHint=false, which covers the safety profile. The description adds the notable 'Requires authentication' requirement, which is not captured by annotations. It does not disclose other behavioral traits like rate limits or data freshness, but with annotations covering safety and an output schema, the added value of the auth note justifies a 4.

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 front-loaded with the verb and resource, followed by a concise metric list and a helpful analogy. Every sentence contributes value, though the metric enumeration is somewhat long. It remains compact and readable, earning a 4 rather than a 5.

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 tool's simplicity (one optional parameter, rich annotations, and an output schema), the description provides sufficient context: purpose, key metrics, and authentication requirement. It does not explain the effect of the period parameter, but that is already in the schema. The tool is complete enough for an agent to select and invoke it correctly.

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% (the only parameter 'period' has a full description with allowed values). The tool description adds no extra detail about the parameter, only implying time-based trends. Since the schema already does the heavy lifting, baseline 3 is appropriate.

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 verb 'Get' and the specific resource 'agent observability dashboard', with a detailed list of included metrics (sessions, events, cost, error rate, latency, etc.) that distinguishes it from sibling tools like thinkneo_usage or thinkneo_sla_dashboard. The analogy 'Like Datadog, but for AI agents' reinforces its unique focus.

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 provides clear context for when this tool is appropriate: when you need aggregated agent observability metrics. It does not explicitly name alternatives or exclusions, but the resource-specific wording ('agent observability dashboard') and metric list make the intended use obvious. Lacks explicit 'use this instead of that' guidance, hence not a 5.

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