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

With no annotations provided, the description carries the full behavioral burden. It discloses that the call is paid ($0.20/call), read-only, and safe to retry, plus the whole-word match behavior. This is strong context for an agent deciding whether to invoke and retry.

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 tight sentences with no filler: the function is front-loaded, the usage guidance follows, and the cost/safety caveat closes. Every clause earns its place.

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?

For a read-only gate tool with no output schema, the description covers purpose, usage context, matching semantics, cost, and retry safety. It does not explain return structure, but for a boolean gate-style check this is sufficiently complete for correct selection and 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 the baseline is 3. The description adds the whole-word match nuance and ties the supplied brand/product terms into the search-query matching behavior. This is helpful but does not add format or syntax detail beyond the schema.

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 states exactly what the tool does: checks whether ChatGPT would search the web and whether the first query matches supplied brand/product terms. This is a specific verb+resource description that clearly differentiates it from the downstream citation_tracker_check tool.

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 explicitly instructs agents to use this as a gate before spending on citation_tracker_check, which is clear usage context. It does not mention exclusions or when to prefer citation_tracker_check_perplexity, but the primary routing guidance is present.

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