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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description still adds the non-obvious behavioral fact an agent most needs: the tool 'opens nothing by itself' and returns a procedure rather than performing the read, which is exactly the surprise that would otherwise cause a wrong invocation. It stops short of describing how detailed or long the returned steps are.

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 single most important sentence — that it returns steps and opens nothing — is buried in the middle of the description. The opening clause 'from ChatGPT, Claude or any AI agent' is filler, and the closing sentence about Productboard's REST API v2 and beta MCP server is irrelevant to invoking this tool and actively invites the agent to consider a different integration path.

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?

With no parameters, no output schema, and rich annotations, the description needs only to explain the return shape and the hand-off — and it does both at a basic level. What is missing is any sense of what the returned steps contain or how to consume them, and the name-versus-behavior mismatch leaves residual ambiguity about whether feedback data is returned at all.

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, so there is nothing for the description to disambiguate and the baseline of 4 applies. No misleading parameter language is present.

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 operative sentence reveals the real function: it 'Returns how to do it in Productboard step by step (screens, buttons, fields) and opens nothing by itself' — a guidance tool, not a data reader. But the leading sentence 'Read feedback in the user's own Productboard account' and the name/title both imply it fetches feedback records, which muddles the purpose against siblings like cotlet_browser_read. An agent has to reconcile contradictory framing before it knows what it will get back.

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?

There is genuine sequencing guidance: use this first, 'then do it with the cotlet_browser_* tools in the user's Productboard Cloud Browser.' That tells the agent this is a prerequisite step rather than a terminal action. However, it never states when to skip this tool (e.g., when the agent already knows the Productboard UI flow) or how it relates to productboard_search_features or cotlet_browser_read.

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