Skip to main content
Glama

delimit_executor

Run approved work orders from the dashboard inbox with dry-run default; pass live=True to execute state-changing actions on GitHub issues and pull requests.

Instructions

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

Execution is bounded to a narrow whitelist of state-changing actions (gh_issue_create, gh_pr_comment, gh_issue_comment). Every invocation is logged to ~/.delimit/workers/audit/executor.jsonl. Dry-run is the default — pass live=True to actually fire the actions.

The dashboard Approve button flips a work order to status=approved. The poller (or a one-shot call with action=poll) then runs the typed executable_actions list. Touch ~/.delimit/pause_executor to stop the autonomous path at the next tick.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionNo'run' (one work order), 'poll' (scan + run all approved), 'status' (return paused + pending count), 'pause'/'resume'.status
wo_idNoRequired for action='run'.
liveNoWhen False (default), dry-run — describes what would happen.
executed_byNoIdentifier for the audit log (e.g. 'dashboard', 'cron').

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

Given no annotations, the description fully discloses behavioral traits: bounded whitelist of actions, audit logging, dry-run default with live flag, and a pause mechanism via file touch. This comprehensive disclosure exceeds expectations.

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

Conciseness4/5

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

The description is detailed but well-organized into short paragraphs covering purpose, execution flow, safety, and control mechanisms. Slightly verbose but each sentence adds value; could be tightened without losing clarity.

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?

With 4 parameters, an output schema, and no annotations, the description covers execution flow, safety features, logging, and control mechanisms thoroughly. The agent has sufficient information to use the tool correctly.

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

Parameters3/5

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

Schema coverage is 100%, so baseline is 3. The description mentions 'live=True' and 'action=poll' but does not add significant new meaning beyond the schema's parameter descriptions. No deduction needed.

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 explicitly states 'Run approved work orders from the dashboard inbox (Pro, Worker Pool v2)', naming the resource (work orders) and action (run). It provides specific context about the workflow, clearly distinguishing the tool's role from siblings.

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

Usage Guidelines4/5

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

The description explains when to use the tool: to execute approved work orders, with dry-run as default and live=True for actual execution. It mentions the dashboard approval process and polling mechanism, but does not explicitly list when not to use it or point to specific alternatives among siblings.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/delimit-ai/delimit-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server