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

Annotations already establish the tool as read-only, idempotent, and non-destructive, so the description's main behavioral addition is the paid-call warning and the existence of free alternatives. That is meaningful context beyond the annotations, though the description still omits output shape or 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?

The description is information-dense and every clause adds some domain detail, but it is not front-loaded with a clear 'this tool does X' statement and relies on jargon-heavy parentheticals. It is acceptable in length but could be restructured for faster agent comprehension.

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?

The description covers the domain, cost, and several board semantics, and the schema fully documents parameters. However, there is no output schema and the description does not describe what a response looks like, which is a notable gap for a multi-board paid 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 100%, so the baseline is 3, but the description adds interpretive depth to the board enum values: 'whose on-chain stock float is locked in one pool' clarifies float-corner, and 'stock-paired launches with their tax and dividend structure' enriches stock-pairs. It does not explicitly name board or token parameters, but the schema already handles those mechanically.

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 identifies a concrete domain ('memecoins are priced in SHARES, on Base and Robinhood Chain') and enumerates the specific intelligence categories it covers: float-corner risk, stock-paired launches, early buyers, and trader records. This makes the tool distinguishable from sibling analysis tools by domain, though it lacks an explicit action verb such as 'Analyzes' or 'Returns' and does not directly contrast itself with other analyze_* tools.

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 paid note ('$0.25 per call from your Einstein credit balance') and pointer to free alternatives via list_einstein_capabilities give concrete cost-based usage context. However, it never states specific conditions for choosing this tool over sibling tools like analyze_token_security or when not to use it, leaving selection mostly to inference.

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