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

No annotations exist, so the description carries the full behavioral burden. It does disclose one meaningful constraint — 'Returns public pages only' — which tells the agent private/internal data is out of scope. However it omits result shape, whether snippets or URLs come back, pagination, and any auth or rate-limit context.

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?

Two sentences, zero filler, and the trigger condition is front-loaded before the scope caveat. The topic list is long but each item earns its place as a routing signal.

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?

There is no output schema and no annotations, so the description must cover behavior alone. It establishes domain and public-only scope, which is the essential part for a search tool, but leaves the return format and result-handling behavior unspecified.

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% and both parameters (query, limit with 1-10 range and default 5) are documented in the schema itself. The description adds no syntax, formatting, or query-construction guidance beyond what the schema already provides, so 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?

The description names the resource domain (PariteCK / pay-transparency content) and states the return scope ('public pages only'), so an agent can infer a retrieval tool over a public knowledge base. It never states the verb explicitly, relying on the tool name 'search' to supply it, but the topic enumeration does separate it from siblings like request_demo_lead or assess_readiness.

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?

It gives a concrete trigger condition ('when a ChatGPT user asks about ...') with an explicit topic list, which is real routing guidance. It stops short of 5 because it never names an alternative tool or states when NOT to use it (e.g., use fetch for a specific known page).

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