pattern_consensus
Use when the agent wants the cross-project CONSENSUS — 'how do most current Next.js projects actually do X?' — rather than a single example. Returns precomputed consensus records ('X% of projects matching predicate P do Y') for a category: auth-library (which auth library projects use), data-fetc...
This record as markdown: /tools/dev-codeitall-codeitall/pattern-consensus.md
What pattern_consensus does on Codeitall
AI agents call pattern_consensus to retrieve information from Codeitall without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
category | string | — | |
language | string | — |
Parameters from the server's own tool schema.
Why pattern_consensus is rated Low
This tool retrieves and queries data about cross-project consensus patterns (auth libraries, data-fetching styles, routing hooks) without side effects. It is a read-only lookup/reporting function that returns precomputed statistics. No code execution, data modification, deletion, or financial operations are involved. The tool's purpose is informational analysis of existing project patterns.
From the tool's definition Tool description states it 'Returns precomputed consensus records' and retrieves statistical data about how projects implement patterns.
Attacks that exploit this kind of access
The rule that runs pattern_consensus safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Codeitall, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pattern_consensus, this is the rule to start with:
pattern_consensus is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Codeitall, apply this rule, and every pattern_consensus call is checked against it from then on.
Questions about pattern_consensus
Use when the agent wants the cross-project CONSENSUS — 'how do most current Next.js projects actually do X?' — rather than a single example. Returns precomputed consensus records ('X% of projects matching predicate P do Y') for a category: auth-library (which auth library projects use), data-fetching-style (legacy page-level data fetching vs Server Actions vs Server Components), or routing-hooks (modern next/navigation vs legacy next/router). Each record carries its honest denominator N, the full outcome distribution with percentages, and the exact SQL predicate behind every number. Pass category to filter, or omit it to get all. Next.js corpus — pass language='ts'. It is categorised as a Read tool in the Codeitall MCP Server, which means it retrieves data without modifying state.
pattern_consensus accepts 2 parameters: category, language. The full parameter table on this page comes from the server's own tool schema.
Register the Codeitall MCP server in PolicyLayer and add a rule for pattern_consensus: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Codeitall. Nothing to install.
pattern_consensus is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the pattern_consensus rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for pattern_consensus. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
pattern_consensus is provided by the Codeitall MCP server (https://api.codeitall.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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