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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds useful provenance ('Data from tradeswithai.com, checked against each vendor site'), which tells the agent the results are curated rather than live scraped, but it does not cover result limits, pagination, or empty-result behavior.

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: the capability and covered trades are front-loaded, and the data-provenance sentence follows. No filler, though the long parenthetical trade list is the densest part and could be trimmed.

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 5-parameter, zero-required search tool with no output schema, the description covers what it returns conceptually but says nothing about result shape, the limit default/maximum, or how price filtering handles tools without listed pricing. Adequate but with clear gaps for an agent trying to call it correctly.

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 80%, so the schema already documents task, trade, category, and max_monthly_price richly, including an example of the price-filter semantics. The description only restates the same four filter names and adds no syntax, format, or matching behavior beyond the schema (e.g., whether trade matching is fuzzy), 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?

The description states a specific verb ('Find') and resource ('AI and software tools') plus the domain (small trades businesses) and enumerates the covered trades, so the purpose is unambiguous. It does not, however, explicitly contrast itself with siblings like search_saas_vendors or compare_trade_tools, which is the only missing element for a 5.

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 lists the filter dimensions ('Filter by trade, task, category, and max monthly price'), which implies how to narrow results, but gives no explicit when-to-use guidance or naming of alternatives. The only routing hint ('Check full quotes with get_trade_tool') lives in the schema, not the description.

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