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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), and the description goes beyond them by disclosing result ordering and that each entry carries the originating app or token. It does not discuss result volume or pagination beyond the limit parameter, but that is minor for a simple read.

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 tight sentence that leads with the operation, then scope, then examples, then ordering and attribution. No filler or repetition of the title or schema.

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, the description does the work of characterizing the return: change types, order, and per-entry actor. Combined with annotations that cover safety and a fully documented single parameter, an agent has what it needs, though 'connected apps' could be spelled out slightly more.

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?

There is a single optional parameter with 100% schema description coverage ('How many changes, 1 to 100', default 30), so the schema already carries the semantics. The description adds nothing about the limit, which is the baseline 3 case rather than a gap.

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 recent changes') and pins down the scope precisely: changes made through the Pagehaus API and connected apps, with concrete examples of the change types. The ordering ('newest first') and actor attribution ('which app or token made each one') make it obvious this is a cross-resource activity feed, not a per-resource listing like list_files or list_sites.

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 examples (files written or deleted, sites created, domains added) imply the audit/history use case and implicitly distinguish it from the enumeration siblings, but no alternative is named and no when-not-to-use guidance is given. Usage must be inferred rather than read.

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