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

Annotations cover only safety hints (readOnly=false, idempotent=false, destructive=false), and the description goes well beyond them: it explains that a reply lands on the thread's version even after a newer version is uploaded, that tags/timestamp are refused on replies, that recordings and drawings cannot be added, that images must already exist in Flask, and that @mentions notify. This is exactly the extra behavioral context annotations cannot carry.

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 core action and then stays dense but useful; the timestamp-preference and reply semantics are stated early. It is a long single block with some overlap against the already-rich content schema description, which costs it a point.

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 5-parameter mutation tool with no output schema, the description covers threading, version targeting, tag requirements, mention syntax, attachment limits, and reply constraints. An agent has everything needed to invoke it correctly and to know what it cannot do.

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 the baseline is 3, but the description adds real meaning beyond the schema: asset_id-vs-version_id semantics ('current version' vs exact version), the timestamp seconds-conversion heuristic, and the cross-parameter constraint that tags/timestamp are refused with reply_to. It does lean on the schema for content Markdown details, which caps this below 5.

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 ('Create a feedback comment on an asset') plus the actor scope ('as the connected user'), which cleanly separates it from siblings like feedback_update, feedback_get, and feedback_list. An agent can identify this as the write/create path for feedback without opening any schema.

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 concrete when-to-use guidance: prefer timestamp when source material has one (with a conversion example), omit for a general note, and use reply_to to join an existing thread. However, it never explicitly names feedback_update as the alternative for editing existing comments, so routing between write tools is left partly to inference.

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