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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds useful behavior (results are the NEWEST entries, filters are optional), but says nothing about result volume, pagination, or how far back the log window goes — relevant for a log listing.

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?

One sentence, front-loaded with the verb and resource, with the optional filter behavior trailing. Slightly awkward phrasing ('like errors of flows') but no wasted text.

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?

With no output schema and 5 parameters, the description covers what the tool returns conceptually (log entries) and the filters, but omits anything about ordering guarantees beyond 'newest', result size, or log retention — gaps an agent would want before relying on it.

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 only 40%; command_id, message_id, and event_listener_id have no schema descriptions. The description gives those three parameters meaning as narrowing filters (one command, event listener, or message template), which is real added value; only limit and app_id are left to the schema.

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 and resource ('Lists the newest log entries of an app') and adds scope detail ('like errors of flows'). It is clearly distinguishable from get_command/list_commands siblings, though it doesn't name any sibling explicitly.

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 phrase 'like errors of flows' implies the debugging use case, and 'optionally only those of one command...' implies filter narrowing, but there is no explicit when-to-use/when-not guidance or pointer to an alternative tool.

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