Feedbucket MCP Server

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

With no annotations provided, the description carries full burden and adds valuable behavioral context: it discloses that the response includes a 'resource' field with screenshot URLs for certain feedback types, and provides specific instructions about downloading and viewing images to see visual context (green dot showing user clicks). This goes beyond basic read operation disclosure.

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 description is appropriately sized and front-loaded with the core purpose, followed by important behavioral details. The second sentence could be slightly more concise, but overall it's efficient with zero wasted sentences.

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 single-parameter read tool with no output schema, the description provides good completeness: it explains what data is returned (comments, attachments, session data), special handling for screenshots, and why the visual context matters. It could mention response format or error cases, but covers the essential context well.

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% (the single parameter 'feedback_id' is fully described in the schema), so the baseline is 3. The description doesn't add any parameter-specific information beyond what's in the schema, but doesn't need to given the complete schema coverage.

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 specific action ('Get full details') and resource ('a specific feedback item'), listing the included data types (comments, attachments, session data). It distinguishes from sibling tools like feedback_list (which presumably lists multiple items) and feedback_comment (which focuses on comments).

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 implies usage context by specifying 'a specific feedback item' (vs. listing multiple), but doesn't explicitly state when to use this tool versus alternatives like feedback_stats or feedback_resolve. It provides some guidance about screenshot handling but not about tool selection.

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