get_external_job
[SUPPORT] Read one project-scoped external job and its durable observation history. Use this from a fresh session before taking any action on a live job.
This record as markdown: /tools/io-github-ajc3xc-meridian/get-external-job.md
What get_external_job does on Meridian
AI agents call get_external_job to retrieve information from Meridian 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 |
|---|---|---|---|
job_id | string | — | |
job_key | string | — | |
project_id | string | — | |
project_name | string | — | Project name — an alternative to project_id; resolved to the id internally. project_id wins if both are given. |
include_history | boolean | — |
Parameters from the server's own tool schema.
Why get_external_job is rated Low
Even though get_external_job only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs get_external_job safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Meridian, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_external_job, this is the rule to start with:
get_external_job 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 Meridian, apply this rule, and every get_external_job call is checked against it from then on.
Questions about get_external_job
[SUPPORT] Read one project-scoped external job and its durable observation history. Use this from a fresh session before taking any action on a live job. It is categorised as a Read tool in the Meridian MCP Server, which means it retrieves data without modifying state.
get_external_job accepts 5 parameters: job_id, job_key, project_id, project_name, include_history. The full parameter table on this page comes from the server's own tool schema.
Register the Meridian MCP server in PolicyLayer and add a rule for get_external_job: 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 Meridian. Nothing to install.
get_external_job 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 get_external_job 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 get_external_job. 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.
get_external_job is provided by the Meridian MCP server (@meridianmcp/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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