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delimit_playbook

Save, run, list, or delete reusable prompt templates with {{variable}} placeholders. Share across AI assistants via a unified workspace.

Instructions

Manage reusable prompt templates - save, run, list, delete.

Save your best prompts as named commands. Use {{variables}} for dynamic parts. Works across all AI assistants through the shared MCP workspace.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionNo"save", "run", "list", or "delete".list
nameNoPlaybook name (required for save/run/delete).
promptNoPrompt template with {{variable}} placeholders (save only).
descriptionNoShort description of what this playbook does.
variablesNoFor run: comma-separated key=value pairs. For save: comma-separated variable names.
model_hintNoSuggested model (e.g. "claude-opus" for complex tasks).
tagsNoComma-separated tags for organization.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided; description mentions cross-assistant workspace integration, which adds some behavioral context. However, it does not disclose details like operation side effects (e.g., overwrite behavior, persistence) or rate limits, leaving gaps for an agent.

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?

Three tight sentences, front-loaded with the core action. No redundant words; each sentence adds distinctive information (purpose, variable hints, cross-workspace scope).

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

Completeness4/5

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

With a full input schema and output schema present, the description provides an adequate high-level overview. For a multi-action CRUD tool, it covers the main use case but could expand on action-specific flows (e.g., 'delete is irreversible'). Still, schema fills most gaps.

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% with clear descriptions for all 7 parameters. The description adds context about variable usage across actions but does not significantly extend meaning beyond the schema. Baseline score applies.

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 clearly states 'Manage reusable prompt templates' with specific verbs: save, run, list, delete. This precisely identifies the tool's function and distinguishes it from siblings like delimit_activate or delimit_agent_check.

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?

Provides context on when to use ('save your best prompts as named commands', 'use {{variables}} for dynamic parts') but lacks explicit exclusion criteria or alternatives among siblings. Nonetheless, the use case is well-implicit.

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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