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DeskCrew

by io.deskcrew

create_issue

Create a new bug report or feature-request issue in this tenant's issue tracker, filed in the 'open' status. Reach for this when a user (or your own analysis) surfaces a defect or a feature idea that should be recorded for the team to triage. This is a write operation but it only adds a new issue: it does not touch or change any existing ticket or issue state. [price: $0.02]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesThe full issue details (max 8000 characters): for a bug, what happens vs. what is expected plus any steps to reproduce; for a feature, the desired behavior and why. Compose this from the conversation or your analysis.
typeYesThe kind of issue to file: 'bug' for a defect or broken behavior, or 'feature' for a feature request or enhancement.
titleYesA short, descriptive one-line summary of the issue (max 200 characters). Write this yourself from the user request or your own analysis.

TDQS

A4.6/5.0
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses that it's a write operation that only adds a new issue without modifying existing ones. Mentions default status and cost.

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?

Two sentences plus cost note, all front-loaded. First sentence states purpose and default, second gives usage and safety info. No wasted words.

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?

Given no output schema and simple creation tool, description covers purpose, usage, parameter guidance, and behavioral transparency completely.

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

Parameters5/5

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

Schema descriptions cover all 3 parameters. The description adds value by instructing to compose body from conversation and write title from user request, and clarifies enum 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?

Clearly states it creates a bug report or feature-request issue in the tenant's issue tracker, with default status 'open'. Differentiates from siblings like 'create_ticket' which is for support tickets.

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?

Explicitly says to use when a defect or feature idea surfaces that needs triaging. Does not explicitly state when not to use, but context implies alternatives exist.

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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TDQS

A4.4/5.0
Disambiguation4/5

Most tools have distinct purposes, but the presence of three drafting tools (draft_reply, draft_support_reply, propose_resolution) with overlapping functionality may cause confusion. Descriptions help differentiate them, but an agent could still misselect.

Naming Consistency4/5

Tool names predominantly follow a verb_noun pattern in snake_case (e.g., create_ticket, list_issues). However, a few tools like 'assign' and 'triage' are single verbs, and 'draft_support_reply' breaks the pattern slightly. Overall consistent but not perfect.

Tool Count5/5

16 tools is well-scoped for a customer support server covering ticket management, issue tracking, knowledge base, and changelog. Each tool serves a clear purpose without bloat.

Completeness4/5

The tool surface covers the core ticket lifecycle (creation, triage, assignment, context, drafting, sending, resolving) and supports issue linking and knowledge base search. Minor gaps like updating ticket details or bulk actions exist but are not critical.

Resources