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

Annotations already declare readOnlyHint=true and idempotentHint=true, so safety and side-effect characteristics are covered. The description adds behavioral detail about the output: it returns a playbook with pre-filled follow-up tool calls, and synthesizes from built-in knowledge and context. This goes beyond the annotations by explaining what the tool produces. No contradiction with annotations was found.

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 two sentences. The first sentence states the core purpose and output, the second adds context and usage guidance. No filler or redundancy. The most important information (playbook, vendor degradation, follow-up calls) is front-loaded. It is efficient and well-structured.

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?

This is a read-only, idempotent tool with an output schema (not shown), so return values are presumably documented there. The description covers the primary trigger (after status check or incidents), the input context (vendor, domain, summary, indicator, components), and the nature of the output. For a 5-parameter tool with clear annotations and schema, the description is complete enough for correct invocation.

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 all five parameters are thoroughly documented in the schema (e.g., vendor, your_domain, incident_summary, vendor_indicator, affected_components). The description does not repeat or augment these parameter meanings; it focuses on the overall behavior. Per the rubric, baseline 3 is appropriate when the schema carries the burden, which it does here.

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 states a specific verb ('return a playbook') with a clear resource (incident-response playbook) and context (tailored to vendor degradation). It also mentions the synthesis of category-specific guidance, which distinguishes it from other tools that only surface status or incidents. The purpose is unambiguous and immediately recognizable.

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 explicitly says 'Use after devops_status_check or devops_get_incidents surfaces a problem to determine what to investigate next.' This gives a direct trigger condition and the exact preceding tools. It implies the tool is for follow-up, not initial discovery, and provides enough context for an agent to decide when to invoke it. No alternative tool is named, but the guidance is precise and sufficient.

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