task.get
Retrieve detailed information for a specific task by its ID, including code review results and status.
Instructions
특정 Task의 상세 정보를 조회합니다.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Task ID |
Retrieve detailed information for a specific task by its ID, including code review results and status.
특정 Task의 상세 정보를 조회합니다.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Task ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full responsibility for behavioral disclosure. It only says 'retrieves', which implies a read operation, but it doesn't mention whether it returns the full task object, what happens for invalid IDs, permission requirements, or any potential side effects. This is minimal and largely restates the tool's name.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no wasted words. However, it is somewhat under-specified, making it less informative than it could be, but it earns its place as a concise summary.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple get-by-ID tool, the description is minimally adequate but incomplete. There is no output schema, so it doesn't specify what 'detailed information' includes or the return format. It could mention the return value or error behavior to be more complete, but given the simplicity, it is acceptable.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% since the sole parameter 'id' has a description ('Task ID'). The tool description adds no extra insight about the parameter, but the schema already documents it adequately, so baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it retrieves detailed information for a specific Task, using a specific verb and resource. The word 'specific' implies a singular lookup, distinguishing it from task.list, but it doesn't explicitly name alternatives.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like task.list or review.get. There are no exclusions, prerequisites, or context given, leaving the agent to infer usage from the name and parameter.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/jaeuk-mrt/mrt-fe-review-washer'
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