Return a structured Git.Top workflow that guides an agent from trends to recommendations, graph, alternatives, score, compare, and trust checks.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| intent | No | Natural-language selection goal. | |
| use_case | No | Concrete project use case. | |
| project_id | No | Optional focus project or product alias. | |
| require_d1 | No | Fail closed unless the tool result is backed by D1 instead of seed fallback. | |
| constraints | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate read-only and non-destructive behavior, so the bar is lower. The description adds no contradicting behavior and provides a hint about the internal structure ('guides an agent...'), but it does not go beyond that to explain output format, dependencies, or edge cases.
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 a single sentence, front-loaded with the core action, and contains no filler. It is concise and to the point.
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?
Given the tool has 6 parameters (including a nested constraints object) and no output schema, the description is too brief to be complete. It does not explain how parameters influence the returned workflow, what the workflow structure looks like, or any caveats. More context is needed for reliable invocation.
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 67%, leaving 'limit' and 'constraints' (including nested properties) without descriptions. The description does not clarify these parameters or add meaning to any parameter, so it fails to compensate for the gaps.
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 tool's verb and resource: 'Return a structured Git.Top workflow' that guides an agent through a specific sequence of steps. This distinguishes it from sibling tools like get_project or search_projects, which handle individual project data.
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—this is for workflows that take an agent from trends through recommendations, graph, alternatives, score, compare, and trust checks. However, it does not explicitly state when to use this tool versus alternatives, nor does it list exclusions or recommended alternatives.
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 addresses a distinct stage of the workflow: search_projects finds candidates, get_project retrieves detailed knowledge, recommend_project provides tailored suggestions, compare_projects contrasts options, and get_agent_workflow guides the overall process. No two tools have overlapping purposes, making misselection very unlikely.
All tool names follow a consistent verb_noun pattern (compare_projects, get_agent_workflow, get_project, recommend_project, search_projects). The two 'get_' tools are clearly differentiated by their objects (agent_workflow vs project), maintaining uniform style and predictability.
Five tools is well within the ideal 3-15 range and perfectly scoped for a project discovery and comparison server. Each tool earns its place, covering search, retrieval, recommendation, comparison, and workflow guidance without redundancy or bloat.
The tool set covers the full user journey: discovering projects via search, getting in-depth information via get_project, obtaining personalized recommendations, comparing alternatives, and following a structured analysis workflow. No obvious gaps exist for the platform's stated purpose.
