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

With no annotations, the description carries the full burden. It usefully discloses ordering (oldest first), inclusive date bounds, and that removed entries are excluded (a soft-delete behavior). However, it omits pagination, result shape, and any permission/scope context, leaving behavioral gaps for a read tool.

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?

A single efficient sentence with the core resource front-loaded, followed by ordering and filtering constraints. No wasted clauses.

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?

No output schema and no annotations, so the description is the only behavioral source. It covers ordering, filtering, and removal exclusion, but leaves the return format, pagination, and job_id semantics unexplained for a 3-param tool.

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 0%, so the description must compensate. It implicitly maps 'on a job' to job_id and explains the from/to range as inclusive, which adds genuine meaning. But it does not describe the job_id format (UUID) or state date syntax (YYYY-MM-DD) beyond what the pattern implies.

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 resource (daily log entries on a job) with clear scope (oldest first, optional inclusive date range, removed entries excluded). An agent can distinguish it cleanly from the write siblings logs_add and logs_remove without opening any schema.

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 ordering and optional date filtering imply a read/list use case, but there is no explicit when-to-use, prerequisites, or named alternative. Usage is inferred from the description rather than stated.

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