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getterdone-mcp-server

getterdone-mcp-server

Official
by getterdoneinc
OverviewSchemaSourceRelated ServersDiscussions(1)Admin
TypeScript
Remote

report_platform_issue

Submit a bug report, feature request, or observation to GetterDone platform admins. Include type, title, description, and optional severity.

Instructions

Submit a bug report, feature request, or general observation to the GetterDone platform admins. Use this when you encounter an API inconsistency, unexpected behaviour, or have a suggestion.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "type": "<type>",
      "title": "<title>",
      "description": "<description>"
    },
    "name": "report_platform_issue"
  }
}

Input Schema

NameRequiredDescriptionDefault
typeYesType of feedback: 'bug' for errors/inconsistencies, 'feature_request' for suggestions, 'general' for other observations
titleYesShort summary of the issue or request (max 120 chars)
descriptionYesDetailed description including steps to reproduce, expected vs actual behaviour, or the rationale for the feature request
severityNoEstimated severity (optional): 'critical' = platform unusable, 'high' = major feature broken, 'medium' = degraded experience, 'low' = minor annoyance

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.10

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the burden. It indicates the report goes to platform admins, but does not disclose behavior like confirmation, response time, or error handling. This is minimal but acceptable for a submission tool.

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 two sentences, front-loaded with the purpose and followed by usage context. Every word carries meaning with no fluff, making it highly efficient.

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 submission tool with 4 parameters and no output schema, the description covers purpose and usage adequately. It could include what happens after submission, but the current level is sufficient for an agent to use 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 description does not add additional parameter information beyond what is in the schema. Baseline 3 is appropriate as it neither enhances nor detracts.

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 explicitly states the tool is for submitting bug reports, feature requests, or general observations to platform admins, and distinguishes it from sibling tools by specifying the action and audience. It is clear and specific.

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 when-to-use guidance ('when you encounter an API inconsistency, unexpected behaviour, or have a suggestion'), but does not mention when not to use the tool or suggest alternatives. It is adequate but lacks explicit exclusions.

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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