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

Annotations already disclose readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds genuine behavioral value by naming the ranking criteria (Fortune 500 buyer fit, verified enterprise traction, feature overlap), which tells the agent how results are ordered, but says nothing about result count, freshness, or coverage limits.

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?

Three sentences, front-loaded with the core action, then positioning, then ranking methodology. The middle sentence is marketing copy that carries less operational weight, but the whole block is short and nothing is buried.

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 partially compensates by stating the ranking dimensions, which implies a ranked list of alternatives. It omits any statement about how many results come back by default or what fields each alternative carries, which is the main remaining gap for a three-parameter lookup tool.

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 67%: 'company' and 'sector' are documented in the schema while 'limit' is not. The description adds an illustrative example of valid vendor inputs (Glean, Harvey) but never mentions the sector filter, the limit cap, or the fact that the schema's sector enum lists only five of six allowed values (it omits 'agentic'), so it does not close the remaining 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?

The description states a specific verb and resource ('Find top enterprise-ready alternatives & competitors to any B2B tech vendor') and scopes it to B2B tech, which distinguishes it from generic search_startups. However, it never names or contrasts itself with the closest sibling, compare_vendors, leaving the agent to infer the boundary between 'find alternatives' and 'compare vendors'.

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?

The only contextual framing is a competitive positioning claim ('Free alternative to CB Insights market maps & G2 grids'), which describes the product, not when an agent should call this tool instead of compare_vendors, search_startups, or find_prospects. No preconditions, exclusions, or alternative-routing guidance is provided.

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