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pylon_create_team

Create specialized support teams in Pylon to organize agents by expertise for handling specific customer issues like technical support or billing.

Instructions

Create a new support team in Pylon. Use this to organize support agents into specialized groups for handling different types of customer issues (e.g., Technical Support, Billing, Enterprise accounts).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesTeam name that describes their specialization. Examples: "Technical Support", "Billing Team", "Enterprise Support", "Level 2 Support"
descriptionNoDescription of team responsibilities and expertise. Example: "Handles complex technical issues, API questions, and integration support"
membersNoArray of user IDs or emails of team members. Example: ["john@company.com", "user_123", "sarah@company.com"]
Behavior2/5

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

No annotations are provided, so the description carries full burden. While it mentions the tool creates a new team, it doesn't disclose important behavioral traits like required permissions, whether this action is reversible, rate limits, or what happens if duplicate team names are used. The description adds some context about team organization but lacks critical operational details.

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 efficiently structured in two sentences: the first states the core purpose, and the second provides usage context with concrete examples. Every sentence adds value without redundancy, making it appropriately sized and front-loaded.

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 creation tool with no annotations and no output schema, the description provides adequate purpose and usage context but lacks important behavioral details about permissions, side effects, and response format. The 100% schema coverage helps, but the description should compensate more for the missing annotations and output schema.

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 description coverage is 100%, providing complete documentation of all three parameters. The description doesn't add any parameter-specific information beyond what's already in the schema, so it meets the baseline of 3. No additional semantic context is provided for the parameters.

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 the specific action ('Create a new support team') and resource ('in Pylon'), with explicit examples of team specializations that distinguish it from sibling tools like pylon_create_contact or pylon_create_issue. It goes beyond the tool name by explaining the organizational purpose of teams.

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 provides clear context for when to use this tool ('to organize support agents into specialized groups for handling different types of customer issues') with helpful examples. However, it doesn't explicitly state when NOT to use it or mention specific alternatives among the sibling tools, such as when to use pylon_get_teams instead.

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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