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

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false, so the agent knows this is a safe read operation. The description adds some behavioral context by listing the topical scope of the docs, but it does not disclose details about result format, ranking, or pagination. Given the annotations cover safety, this is adequate but not rich.

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?

The description is extremely concise: two lines of purpose plus an Args section. The purpose is front-loaded, and every word adds value. The example queries are useful and not repeated elsewhere. No redundancy or 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?

Given this is a simple single-parameter search tool with annotations and an output schema (even though not shown here), the description covers the essentials: what is searched and the nature of the query. It does not need to explain return values because an output schema exists. It could benefit from a note about result limits or sorting, but current completeness is sufficient for this 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?

The schema has 0% coverage for the query parameter (no description in schema). The description compensates by explaining 'query: Search query' and providing two concrete examples ('deploy ethereum node', 'eth_call'). This gives the agent a clear semantic understanding beyond the bare type definition.

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 clearly states the tool's purpose: 'Search Chainstack docs' – a specific verb and resource. It also enumerates the types of content searched (RPC methods, node infrastructure, Web3 APIs, deployment guides, code examples), which distinguishes it from sibling tools like get_doc_page that fetch a specific page rather than search across documentation.

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 description implies use for finding documentation via a search query, providing example queries. However, it does not explicitly state when to use this tool versus get_doc_page (e.g., 'use get_doc_page if you already know the page URL or title'). The guidance is minimal and relies on the tool name and sibling context.

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