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mcp-sing

mcp-sing

by luizrodrigues034
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

production_resume

Resume a paused production job on the pen plotter by providing the job ID. Continue reproducing handwritten signatures from the last completed stroke.

Instructions

Retoma um job pausado (resume-from-stroke-N).

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": {
      "job_id": "<job_id>"
    },
    "name": "production_resume"
  }
}

Input Schema

NameRequiredDescriptionDefault
job_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.0.1

TDQS

C2.4/5.0
Behavior2/5

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

No annotations provided, and the description does not disclose behavioral traits such as idempotency, error behavior when job is not paused, or response format. The agent gets minimal insight beyond the basic action.

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 a single sentence, which is concise, but it lacks structure and additional details that could aid understanding. It is not overly verbose, but could benefit from more information.

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

Completeness2/5

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

Given one parameter, no output schema, and no annotations, the description should compensate by explaining return values, error conditions, or usage context. It does not, leaving the agent underinformed about the tool's full behavior.

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

Parameters1/5

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

The parameter 'job_id' has no description in the schema and is not mentioned or explained in the tool description. With 0% schema coverage, the description fails to provide any additional meaning, leaving the agent with only the parameter name.

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 clearly states it resumes a paused job ('retoma um job pausado') and provides a specific note about 'resume-from-stroke-N', indicating a specific variant. It distinguishes from sibling tools like production_pause and production_run through its verb and context.

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?

No guidance on when to use this tool versus alternatives, no prerequisites (e.g., job must be paused), and no exclusion criteria. The description only defines the action without usage context.

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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