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

With no annotations, the description carries the full burden and does well: it declares read-only, tenant-scoped, newest-first ordering, and — importantly — that drafts and future-dated/scheduled entries are silently excluded. It also signals the [] free [] cost profile. Auth/permission requirements and any rate limits are not mentioned, keeping it short of a 5.

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?

Front-loads the read-only safety trait, then purpose and return shape, then when-to-use, then the filtering caveat. Four dense sentences with no filler; every clause adds usable information.

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 annotations and no output schema, so the description must cover scope, safety, return fields, ordering, and filter behavior — and it does all of these. An agent has everything needed to call it correctly and interpret the result.

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?

The single limit parameter has 100% schema description coverage including default, bounds, and coercion behavior, so the schema already does the work. The prose adds no limit guidance, which is acceptable at this coverage level — baseline 3.

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 (list this tenant's published changelog entries) and enumerates exactly what comes back (id, title, body, publishedAt). The changelog resource is unambiguous and distinct from every sibling (list_tickets, list_bounties, list_issues, read_kb), so an agent can select it without opening a 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?

Explicitly gives the triggering situations: telling a customer what recently changed or shipped, or checking whether a feature/fix has been announced. No exclusion or alternative is named, but none of the sibling tools overlap with changelog retrieval, so there is little left to disambiguate.

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