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pushinglimits-mcp

pushinglimits-mcp

by davidpetras92-sys
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

pl_status

Check your login status for Pushing Limits Club. Returns whether you are logged in, your username, and the time of the check.

Instructions

Login check against Pushing Limits Club. Returns logged_in, user_name, checked_at.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "pl_status"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the return fields but does not explicitly state that this is a read-only operation, whether it requires authentication, or if it has any side effects. For a simple status check, this is a notable gap.

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 extremely concise and front-loaded. It opens with the primary purpose and immediately lists the return fields in two short sentences, with no unnecessary words or filler.

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 zero-parameter tool with no output schema, the description adequately explains what it returns and its purpose. It could benefit from noting that it is a read-only operation, but overall it provides sufficient context for an agent to invoke it correctly.

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

Parameters4/5

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

The tool has zero parameters, so the schema trivially provides 100% coverage. The baseline for 0 parameters is 4; the description does not need to add parameter details since there are none to document.

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 states a specific verb and resource ('Login check against Pushing Limits Club') and explicitly lists the return fields (logged_in, user_name, checked_at). This clearly distinguishes it from sibling tools like pl_get_workouts or pl_get_thresholds, which fetch specific data.

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?

There is no guidance on when to use this tool versus the alternatives, no mention of exclusions, and no prerequisites such as authentication requirements. The description simply states what it does, leaving the agent to infer usage from 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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