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

With no annotations, the description carries the full burden, and it discloses several real behavioral traits: search re-runs never overwrite a set status (idempotency), the operation is free, and it is owner-scoped. It still omits auth requirements beyond 'owner-scoped', error behavior for invalid status values, and reversibility, but the added context is substantial.

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 tight sentences, front-loaded with the action and its allowed values, with the id-source clarification and behavioral notes following. No filler, and the status enumeration earns its place.

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 mutation tool with an output schema (so return values need not be explained), the description covers the semantic core: what it sets, the valid values, the id source, and key behavioral traits. The only real gap is dpop_token and any error/authorization detail, which keeps it short of fully complete.

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 only 25% (only npub is documented), so the description must compensate, and it does for the two required parameters: it supplies the status enum ('new|seen|engaged|dismissed') that the schema lacks, and clarifies conversation_id as the row id from list_conversations rather than X's id. dpop_token remains undocumented in both places.

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 ('Mark one of your leads ... new|seen|engaged|dismissed') and even enumerates the allowed status values, so the action is unambiguous. However, it never references any sibling tool for differentiation, so an agent gets no help placing it against list_conversations, save_conversation_query, or delete_conversation_query beyond the id-source hint.

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 implies a workflow prerequisite by noting the id comes from list_conversations, and warns against using X's conversation id, which is genuinely useful context. But it offers no explicit when-to-use/when-not guidance or named alternatives, leaving usage to inference.

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