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get_parallelizable_groups

[MAINTENANCE] Read-only: Return clusters of pending sprint items that are safe to run simultaneously. Filters pending/todo items (optionally by version) whose depends_on is satisfied, then greedily partitions them into groups where no two items in a group share a touches_resources identifier. The...

SERVERMeridian SOURCE@meridianmcp/mcp
Low RISK CLASS
Category Read
Parameters 30 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-ajc3xc-meridian/get-parallelizable-groups.md

What get_parallelizable_groups does on Meridian

AI agents call get_parallelizable_groups 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.

ParameterTypeRequiredDescription
version string Optional: only consider items in this sprint-version bucket.
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.

Parameters from the server's own tool schema.

Why get_parallelizable_groups is rated Low

This tool queries and analyzes the state of pending sprint items to determine parallelization opportunities. It performs filtering and grouping logic on in-memory data structures but does not create, modify, delete, or execute any tasks. The output (version, groups, counts, blocked items) is purely informational for downstream orchestration decisions.

From the tool's definition Tool description explicitly states 'Read-only' and uses verbs indicating data retrieval: 'Return clusters', 'Filters', 'Returns'.

Questions about get_parallelizable_groups

What does the get_parallelizable_groups tool do? +

[MAINTENANCE] Read-only: Return clusters of pending sprint items that are safe to run simultaneously. Filters pending/todo items (optionally by version) whose depends_on is satisfied, then greedily partitions them into groups where no two items in a group share a touches_resources identifier. The orchestrator fans out each group as a parallel subagent batch and runs the groups in sequence. Returns {version, groups: [[item,...],...], group_count, eligible_count, undeclared_count, blocked: [...]}. Items still waiting on an unfinished dependency are listed under 'blocked', not in any group. Makes parallel sprints system-enforced rather than LLM-guessed. Persistent-state disclosure: on hosted Meridian, supplied text and project/session metadata are sent to and stored in Meridian's service; self-hosted deployments keep them in the configured local SQLite/Postgres database. This data is visible in the dashboard/API and later project context or handoffs. Delete individual tasks, notes, or decisions where supported, or delete the project/account using the documented controls. Do not include secrets. It is categorised as a Read tool in the Meridian MCP Server, which means it retrieves data without modifying state.

What parameters does get_parallelizable_groups accept? +

get_parallelizable_groups accepts 3 parameters: version, project_id, project_name. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on get_parallelizable_groups? +

Register the Meridian MCP server in PolicyLayer and add a rule for get_parallelizable_groups: 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.

What risk level is get_parallelizable_groups? +

get_parallelizable_groups is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_parallelizable_groups? +

Yes. Add a rate_limit block to the get_parallelizable_groups 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.

How do I block get_parallelizable_groups completely? +

Set action: deny in the PolicyLayer policy for get_parallelizable_groups. 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.

What MCP server provides get_parallelizable_groups? +

get_parallelizable_groups 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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