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SalesHookAI

Fleet

fetchFleetContext
Read-onlyIdempotent

Loads all team vehicles with TÜV status, insurance, last odometer and driver assignments

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": "fetchFleetContext"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

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 and repeatability profile is fully covered structurally. The description adds the returned data content, which is genuinely useful, but says nothing about volume, caching, staleness of odometer/insurance data, or authorization scope. Modest value beyond the annotations.

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?

A single sentence that front-loads the verb and scope and then lists the payload in a compact clause. Nothing is redundant and nothing needs trimming.

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 parameterless read tool with full annotation coverage and no output schema, the description does the one job it must: enumerate what comes back. It would be a 5 if it clarified freshness or scope of "all" (whole team vs. current user), but the essentials are present.

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 takes zero parameters, so the baseline of 4 applies. The description correctly implies an unfiltered bulk load with no arguments needed.

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 pairs a specific verb ("Loads") with a concrete resource ("all team vehicles") and enumerates the payload fields (TÜV status, insurance, last odometer, driver assignments). The fleet domain is clear enough to separate it from sibling context loaders like fetchBillingContext or fetchCustomerContext, though it never names an alternative explicitly.

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 statement of when to call this tool versus another context loader, and no prerequisites or exclusions. The only guidance is implicit in the name and the word "all", which tells the agent nothing about whether to prefer this over, say, fetchTeamContext for driver data.

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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