This record as markdown: /tools/io-github-kivanccakmak-yaver/jq.md
What jq does on Yaver
AI agents invoke jq to trigger actions in Yaver. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
| Parameter | Type | Required | Description |
|---|---|---|---|
input | string | Yes | JSON input |
expression | string | Yes | jq expression (e.g. '.data[] | .name') |
Parameters from the server's own tool schema.
Why jq is rated High
While jq is primarily used for querying and transforming JSON, it executes arbitrary expressions provided as arguments. jq expressions can be complex and have side effects depending on context, and the tool runs user-supplied code rather than performing a fixed read operation. This places it in Execute rather than Read.
From the tool's definition "Query/transform JSON with jq expressions" — executes arbitrary jq expressions against JSON data
Risk signalsAccepts freeform code/query input (expression)
Attacks that exploit this kind of access
The rule that runs jq safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Yaver, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For jq, this is the rule to start with:
jq stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Yaver, apply this rule, and every jq call is checked against it from then on.
Questions about jq
Query/transform JSON with jq expressions. It is categorised as a Execute tool in the Yaver MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
jq accepts 2 parameters: input, expression. Required: input, expression. The full parameter table on this page comes from the server's own tool schema.
Register the Yaver MCP server in PolicyLayer and add a rule for jq: 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 Yaver. Nothing to install.
jq is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the jq 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 jq. 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.
jq is provided by the Yaver MCP server (yaver-cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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