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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds real context beyond that: it enumerates what each result carries (Agent Score 0-100, starting monthly price, free plan, themes, page) and notes the data is public-only. It does not explain limit/pagination 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?

A single front-loaded sentence stating the resource, source, and returned fields, followed by compact query examples. Dense but every clause (fields, examples) carries information; no filler.

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 usefully enumerates the result fields, which is the key missing structured information. The remaining gap is limit/pagination semantics and any explicit routing to sibling tools, but for a two-parameter read-only search this is nearly complete.

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 adds meaning for query by giving concrete example strings, but says nothing about the limit parameter's default (5), range (1-10), or that it caps result count.

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 gives a specific verb (Search) and resource (ready-made AI agents/products) plus the source (Electra Index), which cleanly separates it from the sibling search_mcp_servers. An agent can tell what it returns without opening the schema.

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?

Usage is only implied: the example queries ('sales outreach', 'customer support', 'coding') suggest the kind of intent this tool serves. There is no explicit when-to-use vs when-not, and no sibling such as search_mcp_servers or get_agent_pricing is named as an alternative.

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