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lubosstrejcek

victron-tcp

Search Documentation

victron_search_docs
Read-onlyIdempotent

Search the local offline Victron register list to find register addresses, data types, unit IDs, and device categories before making online requests.

Instructions

Search the local offline Victron register list (900+ registers with addresses, types, scale factors). Use this BEFORE making online requests — the local docs cover most questions about registers, unit IDs, data types, and device categories. For VRM cloud API search, use the victron-vrm-mcp sibling package.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch term (e.g. "battery voltage", "SOC", "temperature", "tank level")
sourceNoWhich docs to search: "all" or "registers" — both equivalent now that the register list is the only bundled source.all
maxResultsNoMaximum number of matching sections to return

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNo
sourceNo
matchesNo
Behavior5/5

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

Annotations already declare read-only, idempotent, non-destructive behavior. The description adds valuable context: it operates offline, covers 900+ registers, and explains the source parameter equivalence, fully disclosing behavior beyond 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?

Three concise, front-loaded sentences with no fluff. Each sentence serves a distinct purpose: describing the tool, usage priority, and alternative for cloud search.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the output schema exists and the tool is a straightforward read-only search, the description covers purpose, scope, usage guidance, and parameter semantics sufficiently. No gaps are apparent.

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

Parameters5/5

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

Schema description coverage is 100% with clear parameter descriptions. The tool description enriches semantics by explaining what the register list contains (addresses, types, scale factors) and the equivalence of source options, adding meaningful context beyond schema.

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 explicitly states it searches a local offline register list with specifics (900+ registers, addresses, types, scale factors) and clearly distinguishes itself from online searches, covering purpose well.

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

Usage Guidelines5/5

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

Directly instructs to use this tool before making online requests and provides an alternative sibling package for VRM cloud API search, offering clear when-to-use and when-not-to-use guidance.

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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