list_feedbacks

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

With no annotations, the description must carry the behavioral burden; it does assert this is a project-scoped read returning lightweight summaries with named fields, which is genuinely useful. It omits ordering/sort behavior, pagination or truncation semantics beyond the limit param, and any mention of what 'search' matches at a summary level.

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 sentences, front-loaded with the verb and scope, followed immediately by the return shape. Zero filler and no repetition of schema content.

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 five-parameter list tool with no output schema, listing the summary fields is the key compensating detail and it is present. Remaining gaps are ordering behavior and whether results are paginated beyond the limit cap, which leave it just short of fully complete.

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% and all five parameters carry enum values and defaults, so the schema already does the heavy lifting. The description adds no filtering syntax or interaction details (e.g., how keyword combines with status/severity filters), so the baseline of 3 applies.

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?

States a specific verb pair ('List and search') and resource ('feedback / bug reports') scoped to the SnappySnag project, and enumerates the returned fields, which clearly separates it from detail-fetching siblings. It never explicitly names those siblings as alternatives, but the singular/plural read distinction is obvious from the phrasing.

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?

Usage is only implied: 'list and search' plus 'lightweight summaries' suggests a browse/scan step before calling get_feedback_detail. There is no explicit statement of when to prefer this over get_latest_feedback or get_feedback_detail, and no exclusions or prerequisites.

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