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Mzzj114

nt-mcp-server

by Mzzj114

nt_set_multiple

Write multiple topic-value pairs to FRC NetworkTables, returning connection status, per-topic success, and warnings.

Instructions

Write every {topic: value} pair.

Response: {"connected": bool, "results": {topic: bool}, "warnings": {topic: str | null}}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
updatesYes
strict_type_checkNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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 does reveal the response structure (connected, results, warnings), which implies partial success behavior, but it fails to mention whether the operation is atomic, whether existing values are overwritten, or the semantics of strict_type_check.

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 description is extremely concise (two lines) and clearly structured with the purpose and response format in a code block. It earns its place without unnecessary detail, though the response format could be considered part of the output schema rather than the description.

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?

For a simple batch-write tool with an output schema, the description covers the return shape but misses key behavioral context such as atomicity, strict_type_check semantics, and connection prerequisites. It is adequate but not thorough for an agent to fully understand side effects.

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

Parameters2/5

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

The description explains the core 'updates' parameter as 'topic: value' pairs, but it does not name the parameter or address strict_type_check. Given 0% schema coverage, the description only partially compensates for the missing parameter documentation.

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 uses the verb 'Write' with the resource 'topic: value pair', clearly indicating a batch write operation for multiple topics. The word 'every' distinguishes it from sibling nt_set, though it could be more explicit about being the batch variant.

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?

No guidance is provided on when to use this tool versus alternatives like nt_set. It omits any context about prerequisites (e.g., connection state) or when strict_type_check should be enabled, leaving the agent to infer usage.

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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