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

Annotations already cover the read-only safety profile, but the description adds real value by disclosing the return shape (sorted date-descending, metadata like link/owner/source, widgetEvents and scopeId). With no output schema this is the only place that return behavior is described, though pagination/limits are still unaddressed.

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?

Purpose is front-loaded and the examples are genuinely useful. The sentence 'After query you may optionally call this to check if any events happened around that time' is somewhat meandering and slightly redundant, but overall the text 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 four-parameter read tool with no output schema, the description covers purpose, filtering, and return contents adequately. Minor gaps remain around pagination or result limits, but nothing essential for correct invocation 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?

Schema coverage is 100%, so baseline is 3, but the examples add meaning by showing how from/to bracket a spike window and how tags filter (e.g. ['deployment']), clarifying intended usage beyond the field descriptions.

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?

States a specific verb (List) plus resource (events), clarifies the event types (deployments, business changes, provider updates), and scopes to an organization within a date range. It does not explicitly distinguish itself from sibling list/create/update tools, but the verb+resource combination is unambiguous.

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?

'Use this to correlate cost changes with real-world events' gives a clear use context, and the two examples show concrete invocations. It does not, however, name when-not to use it or route to alternatives like search or find_cost_change_factors, so exclusions are missing.

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