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

With no annotations, the description carries the burden and does well: it declares 'Free' (cost behavior), describes the return payload (slug, price, input schema, example params), and explains the downstream purchase flow. Missing explicit info on paging or result limits, but overall strong disclosure for a read-only search.

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?

A single dense sentence front-loads the essential info and the follow-up action. No filler; 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 2-param search tool with no output schema, the description covers cost, search scope, return fields, and next steps. The only gap is parameter-level detail for 'limit', but overall it is sufficient 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 0%, so the description must compensate. It says the query searches by keyword across agency, dataset or topic, which adds meaning to the required 'query' param, but says nothing about the optional 'limit' or the maxLength constraint, leaving a coverage 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 (search) and resource (full Clink Forge catalog), and names the searchable dimensions (agency, dataset, topic). This distinguishes it clearly from sibling lookups like query_product or aqi_site_lookup, which appear to be targeted lookups.

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?

Provides clear usage context: it's free, returns products, and then explicitly routes the agent to buy via a product's own tool or query_product. It gives a follow-up path but does not state when NOT to use this search vs a direct lookup sibling.

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