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

With readOnlyHint=true the safety profile is already covered, and the description adds genuine behavioral context: the reply is handled personally by Thomas, and it enumerates what the response contains (who it's for, next step, offer, two EUR prices, how to start). Since there is no output schema, this return-content disclosure is the only place that information exists.

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?

Three sentences, front-loaded with the usage trigger before the return contents and the sibling alternative. Slightly dense in the return enumeration, but every clause carries routing or expectation-setting value.

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-param, read-only info tool with no output schema, the description covers purpose, eligibility, the sibling alternative, and the shape of the returned content. Only minor detail is absent (e.g., the concrete contact channel behind 'how to start'), which is a small gap rather than a blocking one.

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 per the baseline the schema fully carries parameter semantics and the description needs to add nothing. No parameter claims are made, so nothing is misleading.

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 resource (private one-to-one AI advisory from Thomas Anglero / The Reset offer) and distinguishes it explicitly from the keynote sibling: 'rather than a keynote for an event' and 'For a keynote, use get_speaking_topics instead.' An agent can route between the two without opening either 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?

Names the exact audience and condition for use ('a CEO, Chair or board member wants private, one-to-one advice'), the disqualifying alternative (a keynote), and points to the correct sibling by name. It also notes it works regardless of AI maturity or country, removing common filtering heuristics.

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