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memory_create_ticket

Create a ticket to request help from another agent, saved as a markdown file in the open queue, assignable to a specific agent or left open for anyone to claim.

Instructions

Create a ticket requesting help from another agent.

Ticket is saved as .md file in tickets/ (open queue). Assign to a specific agent/platform or leave open for anyone.

Examples:

  • PM needs coder: assigned_to="cursor"

  • Coder needs review: assigned_to="claude"

  • Anyone can pick up: assigned_to=None

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations are all false/neutral, so the description must carry the burden. It discloses storage location (tickets/), open queue nature, and assignment flexibility, which is useful. But it omits side effects (e.g., overwriting), prerequisites, or what the return value looks like. Moderate transparency.

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 well-structured and front-loaded with the main purpose. The example list is concise and helps clarify assignment semantics, though it slightly overlaps with schema descriptions. No wasteful content.

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

Completeness3/5

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

For a tool with 11 parameters, the description focuses on assignment and storage but doesn't explain the overall ticket workflow (e.g., relationship to submit/review/claim) or mention required fields like target_url or scope. The schema compensates, but the description alone leaves 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?

The schema already provides detailed descriptions for most parameters (e.g., description, required_fields, scope), so the description doesn't need to repeat them. It adds marginal value only through assigned_to examples. Since schema coverage is rich, a baseline of 3 is appropriate.

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 states a specific verb and resource: 'Create a ticket requesting help from another agent.' It also clarifies the artifact ('saved as .md file in tickets/') and distinguishes itself from sibling ticket tools like claim/submit/review/cancel by focusing on creation.

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 concrete usage context via examples (PM→coder, coder→review, open assignment), and explicitly explains assignment options. However, it does not mention when not to use this tool or name alternatives, just falls short of the highest bar.

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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