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Delimit Executor

delimit_executor

Execute approved work orders from the dashboard, turning them into real GitHub actions like issue creation and PR comments. Inspect or pause the autonomous executor as needed.

Instructions

Run approved work orders from the dashboard inbox (Pro) (Worker Pool v2).

When to use: as the autonomous executor for human-approved work orders, or to inspect/pause the executor. When NOT to use: to dispatch new agent work (use delimit_agent_dispatch) or close out a work order (delimit_work_orders complete).

Sibling contrast: delimit_work_orders reads/closes the work order artifact; this is the run surface that turns approved orders into real GitHub side effects.

Side effects: action="run" / "poll" with live=True fire whitelisted state-changing actions: gh_issue_create, gh_pr_comment, gh_issue_comment. Every invocation is logged to ~/.delimit/workers/audit/executor.jsonl. Touch ~/.delimit/pause_executor to halt the autonomous path at the next tick.

Prerequisite: requires Delimit Pro. An unlicensed call returns {"error": ..., "upgrade": "https://delimit.ai/pricing"} without running.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
liveNoWhen False (default), dry-run — describe what would happen without firing.
wo_idNoWork order id. Required for action="run".
actionNo"run" (one), "poll" (scan + run all approved), "status" (default), "pause", "resume".status
executed_byNoIdentifier for the audit log (e.g. "dashboard", "cron").

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed4 schema fields changedv4.7.9
    • changedInput schema / properties / action / description
      Previous value: -"'run' (one work order), 'poll' (scan + run all approved),\n'status' (return paused + pending count), 'pause'/'resume'."New value: +"\"run\" (one), \"poll\" (scan + run all approved), \"status\" (default), \"pause\", \"resume\"."
    • changedInput schema / properties / executed_by / description
      Previous value: -"Identifier for the audit log (e.g. 'dashboard', 'cron')."New value: +"Identifier for the audit log (e.g. \"dashboard\", \"cron\")."
    • changedInput schema / properties / live / description
      Previous value: -"When False (default), dry-run — describes what would happen."New value: +"When False (default), dry-run — describe what would happen without firing."
    • changedInput schema / properties / wo_id / description
      Previous value: -"Required for action='run'."New value: +"Work order id. Required for action=\"run\"."
  2. Addedv4.5.5

TDQS

A4.9/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Despite readOnlyHint=false and destructiveHint=false, the description adds substantial behavioral context: it reveals that live run/poll actions fire whitelisted GitHub side effects, that every invocation is logged, that touching a pause file halts execution, and that unlicensed calls return an error without running. This goes well beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is densely organized with labeled sections, front-loads the core purpose, and every sentence adds operational value. It is longer than average, but the length is justified by the critical side-effect, logging, pause, and licensing details.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 4 parameters and no required fields, the description covers invocation conditions, exclusions, side effects, audit trail, pause mechanism, and licensing prerequisite. The presence of an output schema means return values need no further explanation, so nothing essential is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description adds value by clarifying the live/action interaction ('run'/'poll' with live=True fire side effects) and noting that wo_id is required for action='run', which enriches the otherwise already-documented parameter meanings.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb+resource: 'Run approved work orders from the dashboard inbox.' It also differentiates from sibling tools by naming delimit_agent_dispatch and delimit_work_orders, making the executor's role unmistakable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit 'When to use' and 'When NOT to use' sections define the invocation context and point to the correct alternatives. The sibling contrast further clarifies the boundary between reading/closing work orders and executing them.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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