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bosch_get_bikes

Lists all Bosch eBikes registered to your Flow account, returning bike names, brands, and frame numbers from local cache.

Instructions

List all Bosch eBikes registered to your Flow account.

Returns bike names, brand, and frame numbers. Uses local cache (auto-syncs if stale). Run bosch_sync first if the list is empty.

Returns a list of bikes with id, name, brand_name, and frame_number.

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": "bosch_get_bikes"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.10.0
    • changedOutput schema / (root)
      Previous value: -{
      -  "properties": {
      -    "result": {
      -      "title": "Result",
      -      "type": "string"
      -    }
      -  },
      -  "required": [
      -    "result"
      -  ],
      -  "title": "bosch_get_bikesOutput",
      -  "type": "object"
      -}New value: +null
  2. Addedv0.2.3
  3. Removedv0.2.2
  4. First observedv0.1.0

TDQS

A4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and does disclose meaningful behavior: results come from a local cache that auto-syncs when stale, and an empty result indicates sync is needed. It omits auth requirements and freshness/rate details, but for a zero-param read it is above adequate.

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?

Front-loaded with purpose, then the sync hint, then the return shape — good ordering. The returned fields are listed twice (once as 'bike names, brand, and frame numbers' and again as 'id, name, brand_name, and frame_number'), which is redundant wording that could be trimmed.

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 list tool with no output schema, the description covers purpose, cache behavior, the sync dependency, and the returned fields, so an agent can call it correctly. Missing only edge details such as whether an empty list vs error distinguishes an unsynced account.

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 no parameters, so the baseline is 4 and there is no parameter meaning to add. The description instead documents the result fields, which is useful but belongs to a different dimension.

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?

States a specific verb and resource — 'List all Bosch eBikes registered to your Flow account' — with clear scope and the fields returned. It is distinguishable from most siblings, but it never clarifies how it differs from the near-identically named bosch_get_bike (singular), leaving that pair ambiguous.

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

Usage Guidelines4/5

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

Gives a concrete routing rule for the empty case: run bosch_sync first. It also implicitly covers the 'I need a list of bikes' scenario. It does not exclude cases (e.g., use bosch_get_bike for a single bike's details), so it falls short of a full when/when-not treatment.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.