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

Beyond readOnlyHint=false, the description discloses the operational essentials: the code is single-use and valid 7 days, a key-less redemption issues a new key shown once that replaces the prior key on every connection, and a key-present redemption joins the company to the existing key without disturbing other connections. It also spells out the mandatory post-redeem reconfiguration per client, which is exactly the kind of consequence an agent cannot infer from annotations.

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?

Purpose is front-loaded and the progression from redemption semantics to client-by-client reconfiguration is logical. However, the per-client minutiae (IDE 'Restart extension', quitting and reopening the desktop app, the note that ChatGPT chats never read the file) make it far longer than an agent needs to select and invoke the tool.

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 one-parameter mutation with no output schema, the description is more than complete — it covers the single-use/expiry rule, key replacement blast radius, and the exact remediation path per client, leaving no correctness-relevant 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?

With 0% schema description coverage, the description must carry the meaning of 'code', and it does: the value comes from an invite email, is redeemable once, and expires after 7 days. It adds lifecycle semantics the schema's min/maxLength constraints cannot express, though it does not discuss format or validation.

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 first sentence names a specific verb (redeem), the exact resource (the code from a RepuTend invite email), and the outcome (join that company's team). An agent can distinguish this from the sibling invite_member, which is the issuing side rather than the redemption side.

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 description clearly establishes the trigger context — an invite email code received by the person — and spells out the required follow-up for each client type. It stops short of explicitly naming an alternative or a when-not-to-use case, but the usage situation is unambiguous.

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