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Profullstack: List Fleet Services

profullstack_fleet_list_services
Read-onlyIdempotent

[Profullstack] List the Profullstack fleet: every product with its URL, category, and which surfaces it has (API, MCP, llms.txt, installer, PWA). Filter by category or by a surface.

Served by Profullstack (https://profullstack.com/mcp).

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": "profullstack_fleet_list_services"
  }
}

Input Schema

NameRequiredDescriptionDefault
hasNoonly services with this surface
categoryNoe.g. developer-tools, ai, finance, media, security

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds that this returns the complete fleet with its surface flags, which is useful context, but says nothing about result size, pagination, or ordering for what could be a long list.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core sentence is front-loaded and dense with useful information about the payload. The trailing attribution line ("Served by Profullstack...") and the stray blank line do not help an agent decide or call the tool, so a small amount of the text is not earning its place.

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 two-optional-parameter read-only list tool with no output schema, the description covers purpose, both filter dimensions, and the shape of each returned record. The remaining gap is list size and pagination behavior, which matters for a fleet-wide enumeration but is a modest omission.

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 100% and the 'has' enum is fully enumerated in the schema, so the schema does the heavy lifting. The description only restates that filtering exists by category or surface, adding no format, matching, or multi-value semantics beyond what the schema already declares.

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 opens with a specific verb and resource ("List the Profullstack fleet") and even names the fields returned (URL, category, surfaces), so the agent knows exactly what comes back. It stops short of distinguishing itself from nearby siblings such as profullstack_fleet_search_services or profullstack_fleet_get_service, which is the only thing keeping it from a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

"Filter by category or by a surface" implies the intended use case of narrowing the fleet, and the tool is clearly the enumerate-everything option. However there is no explicit when-to-use versus when-not-to-use guidance and no mention of the search or get-service siblings, so the agent has to infer the routing decision.

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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