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

Goes well beyond the annotations (destructiveHint=true, idempotentHint=false) by spelling out the two-call confirm_token protocol, that nothing is sent on the first call, that the message is irreversible once sent, and that the company sees it as coming from the user. It also pre-empts an auth question by noting the connected Himalayas account needs no extra sign-in.

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?

Four tight sentences, front-loaded with what the tool does, then the two-call mechanics, then the safety obligation. No filler and no repetition of annotation data.

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 3-parameter, no-output-schema, destructive write tool, the description covers mechanism, irreversibility, approval workflow, and auth context. An agent has everything needed to call it correctly and safely.

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 a baseline of 3 applies, but the description adds real semantics: confirm_token is a preview-then-send switch, and the second call must carry the same message. That clarifies the parameter interaction in a way the per-parameter schema text only partially conveys.

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 and resource — 'Send a reply in a conversation in the user's job seeker inbox' — which an agent can immediately distinguish from, say, start_conversation. It never explicitly contrasts with the sibling send_message, however, so the boundary between the two reply/send tools has to be inferred from the names alone.

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?

Gives clear conditional usage: call without confirm_token to preview, call again with the token to send, and only after showing the user the preview and getting approval. That is strong when-to-use guidance, though it offers no explicit exclusion against send_message or start_conversation.

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