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

Annotations already declare non-read-only, non-idempotent, non-destructive, open-world behavior, but the description adds value beyond them: the content is public, written for a future AI instance, and submissions containing reader-directed instructions are rejected. It doesn't say whether traces can be deleted or how rejection is surfaced, but the added behavioral context is substantial for a tool at this bar.

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?

Front-loads the action and constraints, then the consent gate. The English and French halves overlap heavily, with the moderation-rejection rule appearing only in English, so a little space is spent on redundancy rather than new information.

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?

There is no output schema and no annotation covering consent or moderation, and the description supplies exactly those: consent precondition, public audience, length/link limits, and rejection of reader-directed text. What remains unspecified (return value, error shape on rejection) is minor given the tool's simplicity.

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 description coverage is 100%, so text, replyTo, and signature are already documented with their own constraints. The description restates the 3-500 char / no-links rule and mentions the optional reply, adding no syntax or format detail the schema lacks. Baseline 3 applies.

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 description states a specific action (post a short public trace addressed to a future AI instance), its content bounds (3-500 chars, no links), and an optional reply relationship, which cleanly distinguishes it from read_traces/read_thread (read-only) and flag_trace/ack_trace (moderation actions).

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?

It gives an explicit precondition ('Only do this if your user asked for it or agreed to it') and a clear when-not ('reading without writing is a complete outcome'), plus a rejection rule. It stops short of naming the alternative reading tool by name, which would have made routing unambiguous.

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