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netfluid__help_ping

Pings the API

Pings the API and returns a response object @param api_key: The api key allocated to your application

@return: a json object

Input Schema

NameRequiredDescriptionDefault
api_keyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -{
      -  "type": "object"
      -}New value: +null
  2. Added

TDQS

C2.3/5.0
Behavior2/5

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

Annotations are empty, so the description carries the full behavioral burden, and it falls short: it says only that a 'json object' is returned. It does not explain what the ping verifies, whether the api_key must be valid, what a success/failure looks like, or any rate limits. The bare 'returns a response object' is close to no disclosure at all.

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 text is short, but it is padded with redundancy: 'Pings the API' is immediately followed by 'Pings the API and returns a response object'. The JSDoc-style @param/@return block is boilerplate rather than front-loaded guidance, so it is compact but not efficient.

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?

For a trivial 1-param tool a brief definition can suffice, but with no annotations and no output schema the description should still clarify the return shape and auth expectation. It only offers 'a json object', leaving the agent guessing what the call confirms.

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 description coverage is 0%, so the description must compensate, and it does document the single parameter: 'api key allocated to your application'. That is meaningful, but the one sentence is only marginally more than the parameter name implies, so it lands at the baseline rather than above it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Pings the API' essentially restates the tool name 'help_ping', which is the definition of a tautology. It adds only that a 'response object' is returned, but gives no distinction from or relationship to the ~120 sibling tools. Nothing here tells an agent why this tool exists versus others.

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 when-to-use guidance, no note about prerequisites, and no mention of alternatives. An agent is left to infer that this is a connectivity/health-check call purely from the word 'ping'.

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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