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

Annotations only say this is a non-destructive, closed-world write; the description goes well beyond that by disclosing the mutual-consent model, the threshold gating ('asks the buyer only once enough strong startups have opted in'), and the consent rule for sharing details. Missing only what happens after opting in (reversibility, opt-out).

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 audience qualifier and with the key constraint stated before the explanatory clause. Some rhetorical phrasing ('Mutual or nothing') is slightly padded but still earns its place by conveying the consent model.

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 does the right work: it defines purpose, the consent/gating behavior, and the caller's prerequisite. A competent agent has enough to call it correctly, though a note on what the caller receives after opting in would close the last gap.

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 coverage is 100%, so all four parameters are already documented including the note, buyers, company, and work_email fields. The description's email-domain guidance merely reinforces an existing schema description, which is the correct baseline-3 case.

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?

Concrete verb and resource: opting a startup in to be considered when MaxedS arranges a meeting with an enterprise buyer. An agent can understand exactly what the tool does. It does not, however, explicitly distinguish itself from siblings like find_prospects or search_startups in the description text.

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?

'For startups' scopes the audience and 'Use a work email on your company's domain' gives a prerequisite, so usage is implied. There is no when-not condition and no sibling alternative named, leaving the agent to infer that this is the registration half of the find_prospects flow.

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