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Space-C0wboy

ReliaQuest GreyMatter MCP Server

by Space-C0wboy

create_task

Create a task in ReliaQuest GreyMatter by providing assignee, description, and metadata, with optional filters and ordering for associated comments.

Instructions

Tasks · mutation createTask. Variables: after, filter, first, order, input. Example variables: {"after":"T18w","filter":{"created":{"earliest":"2026-05-01T00:00:00.000Z","latest":"2026-05-01T00:00:00.000Z"},"types":["PUBLIC"]},"first":10,"order":{"direction":"ASC","orderBy":"CREATED_AT"},"input":{"assignee":"","description":"","metadata":{"engineeringMetadata":{"businessCriticalLo...

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
afterNoGraphQL: String
firstNoGraphQL: Int
inputYesGraphQL: CreateTaskInput!
orderNoGraphQL: TaskCommentOrder
filterNoGraphQL: TaskCommentFilter
customer_slugNoOverride the x-reliaquest-customer (OpCo) header.
Behavior1/5

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

No annotations are provided, so the description carries the full burden. It only reveals that this is a mutation and lists variable names/example values, but says nothing about effects, permissions, idempotency, or what happens when a task is created. This is essentially a schema echo with no behavioral disclosure.

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

Conciseness3/5

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

The description is concise and front-loaded with the operation type, but the variable list and truncated example are not well-explained. It earns its place minimally but lacks meaningful structure or explanatory context.

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

Completeness1/5

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

With no annotations and no output schema, the description must provide return values, effects, and usage context. It provides none. For a mutation with six parameters and numerous sibling tools, this is critically incomplete.

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%, so baseline is 3. The description adds example variables that illustrate usage of filter, order, and input, which slightly helps. However, it does not explain the purpose or format of each variable beyond the schema's bare GraphQL type references.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'mutation createTask' with a clear verb+resource, indicating it creates a task. However, it does not differentiate from many other task-related or create_* sibling tools, and it provides no context on what a task is in this domain.

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

Usage Guidelines2/5

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

The description gives no guidance on when to use this tool versus alternatives like create_case, create_user, or discover_task. It lacks any mention of prerequisites, scenarios, or when not to use it.

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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