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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description reinforces this concretely with 'opens nothing by itself' and by stating that the return is step-by-step UI guidance. That is valuable behavior beyond the annotations. The API/no-MCP-server sentence explains why the browser handoff is required, though it reads partly as justification rather than operational detail; return format is only gestured at ('screens, buttons, fields').

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 core behavior is front-loaded well in the first two sentences. But 'from ChatGPT, Claude or any AI agent' and the trailing Discogs API/MCP-server survey ('checked 17 Oct 2026') are branding and provenance filler that do not help an agent decide or invoke. Trimming those would sharpen the definition.

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 zero-param, no-output-schema tool it covers the mechanics adequately: it says what it returns and which tools to use next. The significant omission is how a specific release is designated when no parameters exist, and it offers no detail on the shape or length of the returned instructions. An agent knows the workflow but not the linkage to a concrete release.

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?

The tool takes zero parameters and the schema is fully closed (additionalProperties: false), so there is no parameter meaning to add; baseline 4 applies. The unaddressed question is not a parameter but how the target release is identified at all, which is a completeness concern rather than schema semantics.

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 makes the actual behavior explicit: the tool "Returns how to do it in Discogs step by step (screens, buttons, fields) and opens nothing by itself," which is a specific and non-obvious purpose. It distinguishes itself from the cotlet_browser_* siblings by positioning them as the follow-up step. The only friction is that the name/title say "Add release to collection" while the tool does not add anything, so an agent skimming the name could misfire.

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 states the workflow ('then do it with the cotlet_browser_* tools in the user's Discogs Cloud Browser'), which is real usage guidance. However, it never states when this tool should be preferred over, say, discogs_add_release_to_wantlist, nor any precondition or exclusion. The usage path is implied rather than framed as an explicit decision rule.

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