get_quick_wins
Return pending and applied quick wins for a domain. Requires a valid API key (pro, growth or agency).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes |
Return pending and applied quick wins for a domain. Requires a valid API key (pro, growth or agency).
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already include readOnlyHint: true, so the read-only nature is disclosed. The description adds an auth requirement (API key) that is absent from annotations, and clarifies the return scope (pending and applied). No contradictions; no additional destructive or rate-limit behaviors need to be mentioned given the tool is read-only.
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 two sentences, front-loaded with the main purpose and followed by a crucial prerequisite. Every word earns its place; no filler or repetition of schema field names unnecessarily.
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 one required parameter and no output schema, the description covers the core purpose and auth requirement. It does not specify the domain format or response structure, but that is not strictly required without an output schema. Slight gap remains in parameter semantics, as noted.
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 schema has a single 'domain' string with 0% coverage (no description). The description adds 'for a domain,' clarifying that the parameter is the target domain for which to retrieve quick wins, but it does not explain format, examples, or constraints. Given the very low schema coverage, this is a partial compensation but not thorough.
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 'Return pending and applied quick wins for a domain' – a specific verb ('Return') plus resource ('quick wins') and scope ('for a domain'). This distinguishes it from sibling tools like get_quick_win_code (which likely returns code) and mark_applied (which mutates status).
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 provides clear context about the API key requirement (pro, growth, or agency), which is an important prerequisite for using the tool. However, it does not explicitly mention when to use this tool versus alternatives like get_quick_win_code or mark_applied, nor does it state exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct resource and action, though analyze_geo overlaps slightly with get_bleed_model and get_competitor_actions. Descriptions clarify the differences, making misselection unlikely.
All tools follow a consistent snake_case verb_noun pattern (activate_artifact, get_bot_activity, mark_applied). Minor deviations like analyze_geo instead of get_geo_analysis don't break the pattern.
16 tools is slightly above the typical 3-15 range, but the server covers multiple subdomains (artifacts, analysis, quick wins, reporting), so each tool has a clear purpose.
The tool set covers the full artifact lifecycle (generate, list, get, approve, activate, regenerate) and the core analysis metrics. Minor gaps like no explicit delete tool for artifacts exist, but regenerate serves that need.