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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive/closed-world, so the safety profile is covered. The description adds real value beyond that by disclosing the data scope: a 30-day window and 'whether evals can run' as part of the payload. It does not describe output structure or pagination, but for a read-only summary that's a minor gap.

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 enumeration is dense but front-loaded with exactly what the overview contains, which is the most useful information. The trailing sentence explaining KB-search-vs-context is somewhat conceptual rather than actionable, a minor detour, but the overall shape is efficient.

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 read-only, single-optional-param tool with no output schema, the description carries the right load: it enumerates the returned data and the time scope so the agent knows what to expect. The absence of an output schema means the return contents must live in the description, which they do. Nothing critical is missing 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?

With a single optional productId at 100% schema coverage ('Only this product's evals.'), the schema already documents the parameter's meaning. The description does not mention productId at all, adding no semantic detail over the schema. Baseline 3 is appropriate when the schema carries the parameter documentation.

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 resource ('training overview') and enumerates exactly what it returns: 30-day conversations/resolutions, feedback, context document, and eval runs. This lets an agent distinguish it from get_agent or run_agent_evaluation by content. It stops short of explicitly naming a sibling it should be chosen over, so it's clear but not fully differentiated.

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?

Usage is implied by the 'at a glance' framing – this is the dashboard/summary read – but there is no explicit when-to-use, when-not, or named alternative. The second sentence explains a concept (KB search vs context) rather than guiding tool selection. An agent can infer the purpose but isn't steered between this and closely-related tools like list_training_proposals or get_ai_settings.

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