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 covered by structured data. The description adds genuinely useful context beyond that: it discloses the return shape ('published answer text with its source URL') and a scope disclaimer ('General education only'), which tells the agent not to treat results as personalized advice. It does not cover result-count or ranking behavior, keeping it short of a 5.

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 verb and resource are front-loaded in the first clause, followed by the topical enumeration, the return description, and the disclaimer. The long mid-sentence list of domains is heavy but each item is informative; there is no filler or repetition.

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 correctly carries the burden of describing returns ('published answer text with its source URL') and does so. For a two-parameter read-only search this is nearly sufficient; only the handling of the limit parameter and any ranking/pagination behavior are left unstated.

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 50%: 'query' is documented in the schema, but 'limit' (default 5, max 10) is not described in either place. The description's topic enumeration effectively explains what kind of query text is expected, which adds some meaning, but it says nothing about controlling result count or how limit interacts with the search.

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 and resource ('Search ClearMind Capital's published answers and Clarity Corner articles') and enumerates the topical scope, so the agent knows exactly what corpus is being searched. It is clear on its own but never explicitly distinguishes itself from overlapping siblings such as list_clarity_corner or find_401k_plan, which cover adjacent content.

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 through the topic list; there is no statement of when this search should be preferred over list_clarity_corner or find_401k_plan, nor any exclusion guidance. The closing line 'General education only' hints at scope and limits, but no alternative tool is named or routed to.

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