list_feedback
Read public product feedback and review decisions. One page; preserve filter arguments with the returned cursor.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| author | No | ||
| cursor | No | ||
| status | No |
Read public product feedback and review decisions. One page; preserve filter arguments with the returned cursor.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| author | No | ||
| cursor | No | ||
| status | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It usefully discloses that results are paginated ('One page') and that filters must be resubmitted with the cursor to keep a consistent view — genuine behavioral detail beyond the schema. It omits access scope, rate limits, and ordering, so it is only partially transparent for a read tool.
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?
Two short sentences, both front-loaded and information-bearing: the first states what is read, the second states the paging contract. No filler.
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?
There is no output schema and no annotations, and 4 parameters sit at 0% description coverage. For a tool whose whole purpose is filtered, paginated retrieval, the absence of any detail on status semantics, limit bounds, or the cursor's opaque nature leaves real gaps.
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 0%, so all four parameters (limit, author, cursor, status) are undocumented. The description hints that 'filter arguments' exist and that the cursor is a pagination token, but it never explains the status enum values, the limit cap of 20, or how author matching works.
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 gives a specific verb ('Read') and resource ('public product feedback and review decisions'), making the list-and-retrieve purpose clear. It does not, however, name or contrast with the obvious sibling get_feedback, so an agent must infer the singular/plural distinction from the name alone.
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?
'Read public product feedback' implies a browsing use case, but there is no statement of when to call this versus get_feedback, submit_feedback, or search. The only procedural guidance is indirect, via the pagination sentence about preserving filter arguments with the cursor.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.