playlist_edit_journal

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

With no annotations, the description carries the full behavioral disclosure burden. It explicitly states read-only, no local snapshot needed, quota (1–2 GETs), and the output categories the agent can expect. It does not discuss failure behavior or missing added_at metadata, but the central safety and scope traits are transparently disclosed.

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?

The whole description is one dense sentence that front-loads the verb and resource, then packs output details, read-only status, snapshot independence, and quota into the remaining text. No filler, no redundant schema repetition, and the quota note is genuinely useful.

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?

The tool has only 3 params, 1 required, and no output schema, yet the description compensates by naming what the agent will get back: add-batches by date, added-by attribution, collab contributors, and drift verdict. It also states side effects explicitly (read-only) and quota. For a read-only journaling tool, this is sufficient for an agent to select and invoke it correctly.

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%, with all three parameters (playlist_id, max_results, response_format) already descriped in the schema. The description adds no parameter-specific meaning beyond the schema, so the baseline 3 is appropriate where the schema carries the load.

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 clearly states the tool journals a playlist's live edit history from added_at/added_by metadata and enumerates concrete outputs: add-batches by date, who added them, collab contributors, and drift verdict. It also explicitly marks the operation as read-only and distinguishes it from snapshot-based workflows by saying no local snapshot is needed. This is far beyond a vague or tautological purpose.

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 gives useful selection context: it is read-only, uses live metadata rather than snapshots, and costs only 1–2 GETs. However, it does not name alternatives such as get_playlist_add_dates or playlist_history, and it leaves the when-to-use decision implicit rather than explicitly contrasting with those siblings.

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