review_stats
Coverage stats: total patterns, reviewed %, per-suite and per-confidence breakdown. Surfaces load-time validation issue count.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Coverage stats: total patterns, reviewed %, per-suite and per-confidence breakdown. Surfaces load-time validation issue count.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden. It only mentions what is surfaced, but does not disclose behavioral traits such as whether it is read-only, potential side effects, or how load-time issues are defined. Minimal transparency.
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 key concepts. No wasted words, efficient and clear.
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?
While the description covers the high-level purpose, it lacks specifics about output format, aggregation level, or interpretation of 'load-time validation issue count.' For a tool with no output schema, more detail would be helpful, but it is minimally 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?
There are no parameters, so schema coverage is 100%. The description adds meaning by detailing the output content, which is sufficient given zero parameters.
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 what the tool provides: coverage stats including total patterns, reviewed percentage, per-suite and per-confidence breakdown, and load-time validation issue count. It is specific and distinct from sibling tools which focus on listing or searching.
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?
No guidance is given on when to use this tool versus alternatives. It does not mention any prerequisites, exclusions, or context for when to use it over siblings like list_unreviewed or search_patterns.
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 has a distinct purpose: finding patterns, cross-references, operational heuristics, requirements, listing, searching, and review stats. Overlap is minimal and well-differentiated by input parameters.
All tool names follow a consistent verb_noun pattern in snake_case, e.g., find_patterns_for_task, list_requirements, resolve_id. No mixing of conventions or vague verbs.
12 tools cover core operations (list, get, search, resolve, review) for the framework domain without bloat. Each tool serves a clear, non-redundant purpose.
Covers most needed operations for exploring the framework: listing suites, searching patterns, getting details, cross-references, review stats. Lacks a direct 'list all patterns' tool, but list_requirements and search_patterns partially fill that gap.