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Gladly MCP by usefulapi

Get a task

gladly_get_task
Read-only

Get one task by id: body, assignee, due date, status, topics. Gladly API: GET /api/v1/tasks/{taskId}.

Input Schema

NameRequiredDescriptionDefault
task_idYesThe task id (from gladly_list_customer_tasks).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

readOnlyHint=true already declares the safety profile, and the description adds useful detail beyond that: the exact fields returned and the HTTP route. It says nothing about permissions, not-found behavior, or rate limits, so it is solid but not rich.

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 short sentences, zero waste, with the core identity and return fields front-loaded before the API path.

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?

For a simple read tool with no output schema, listing the returned fields covers the main gap. Minor omissions are edge behavior (not-found, empty topics), which would be nice but are not essential to calling it correctly.

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% and the single task_id parameter is fully documented in the schema, including where to obtain it. The description's 'by id' adds no semantics beyond that, so the baseline 3 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?

States a specific verb and resource ('Get one task by id') and enumerates the returned fields (body, assignee, due date, status, topics), plus the underlying endpoint. An agent can distinguish it from the sibling gladly_list_customer_tasks purely from this text.

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 'one task by id' phrasing and the schema note pointing to gladly_list_customer_tasks make the retrieval flow clear. It gives context for when to use it, but never states exclusions or what to do if the id is unknown.

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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