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Mzzj114

nt-mcp-server

by Mzzj114

nt_set

Publish a value to a specified NetworkTables topic, with optional strict type checking to reject mismatched writes. Returns connection status, success flag, and any warning for monitoring and debugging FRC robot data.

Instructions

Publish value to topic.

Response: {"connected": bool, "ok": bool, "warning": str | null}. strict_type_check=True refuses mismatched writes instead of only warning about them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes
valueYes
strict_type_checkNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It provides the response format ('Response: {"connected": bool, "ok": bool, "warning": str | null}') and explains strict_type_check behavior ('refuses mismatched writes instead of only warning'). This gives meaningful insight into the tool's operation, though it omits prerequisites like connection state.

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 sentences, all information-dense: the action, the response format, and the strict_type_check nuance. No redundant language, and key content is front-loaded.

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

Completeness3/5

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

The description covers the core action and response, but misses important context like the need to be connected to a server (given sibling tools nt_connect/nt_disconnect) and potential constraints on value types. For a tool in a larger connected system, this is a noticeable gap.

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?

The input schema has 0% description coverage, so the description must compensate. It effectively explains strict_type_check ('refuses mismatched writes'), but topic and value are only described generically via 'Publish value to topic'. This adds some meaning but not deep detail about value types or topic format.

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 immediately states 'Publish value to topic', which is a specific verb+resource. It clearly distinguishes from sibling tools like nt_get (retrieve) and nt_set_multiple (batch operation), making the singular purpose unambiguous.

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?

No explicit when-to-use or alternatives are mentioned, such as using nt_set_multiple for batch operations or ensuring a connection before publishing. The usage context is implied by the name and description, but not stated clearly.

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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