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

Annotations only declare readOnly and openWorld; the description adds non-obvious behavior: pages are checked roughly once a day, querying a new company starts tracking it, and history only accrues from that day forward. That side effect and the data-latency caveat are exactly what an agent needs before deciding to call it.

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?

Content is front-loaded: the capability and returned fields come before the tracking caveat. The opening rhetorical question ('Did they raise prices or change their terms?') is padding, and the three-part return list could be tightened.

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 carries the return-value burden and does so — enumerating price, plan/trial, subprocessor and text deltas plus current prices — while also covering the tracking caveat. Nothing material is missing for correct invocation.

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 description coverage is 100%, so both domain and since_days are already documented with format, default and bounds. The description adds no syntax or scoping detail beyond the schema, so the baseline 3 applies.

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 concrete resource (pricing, terms of service, privacy policy, subprocessor page changes) and what is returned (change history plus current prices), which cleanly separates it from sibling company_profile, a static snapshot tool. An agent can identify the tool's job without opening the 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?

Gives clear scenario-based context ('competitor monitoring, vendor renewals and compliance') and a key precondition implied by the tracking model. It never names a sibling alternative (e.g., company_profile or check_before_paying) or states when NOT to use it, so routing is inferred rather than explicit.

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