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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is covered. The description adds real semantic context beyond that: it pre-empts the most likely misinterpretation by stating the points "grade the reading, never where price goes next," which tells the agent what the returned content will and will not claim. It stops short of describing the response shape, but an output schema exists to carry that.

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?

Two short sentences, front-loaded with the subject and free of filler. "No edge" is quoted jargon that an uninformed agent cannot fully resolve from this text alone, which is the only real drag on an otherwise tight definition.

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?

For a zero-parameter, read-only explanatory tool with an output schema, the description covers what the content is about and what it explicitly does not assert. The only gap is that it does not characterize the format of the explanation (prose vs. structured), which is minor given the output schema.

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 tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a no-arg tool applies. The description correctly implies no inputs are needed to get the explanation.

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?

States a specific verb ("Explains") and a specific resource ("the 0 to 5 probability points shown on MCP AI Indicators"), and enumerates the sub-topics covered: reading strength, the green/red meter, and "No edge." That is far more concrete than the sibling names (about_mycryptoparadise, search_education), though it never explicitly contrasts itself with search_education, which is the nearest overlapping tool.

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 implied rather than stated: an agent can infer it should call this when a user asks what the probability points or the meter mean. There is no explicit when-to-use or when-not, and no pointer to search_education or about_mycryptoparadise as the alternatives for broader explanatory questions.

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