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Mzzj114

nt-mcp-server

by Mzzj114

nt_get_multiple

Retrieves current values for multiple robot NetworkTables topics in a single request, returning connected status with each requested topic mapped to its value.

Instructions

Return values for every requested topic.

Response: {"connected": bool, "values": {topic: value}}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicsYes

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 provided, the description must carry the full burden and it does add the response structure `{'connected': bool, 'values': {topic: value}}`, which gives useful behavioral shape. However, the semantics of the 'connected' field are left entirely unexplained, and there is no disclosure of error behavior, partial-failure handling, or what happens for invalid topics.

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 efficiently minimal: a one-sentence purpose followed by a structured response format line. It is front-loaded and wastes no words. The phrasing 'every requested topic' is slightly awkward and could be smoother, but the overall structure earns points for channeling information into a compact, parseable form.

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?

Given the tool's low complexity (one parameter) and the presence of an output schema, the description is nearly adequate. However, it misses chances to clarify the meaning of the 'connected' boolean, the relationship to nt_get, and whether duplicate or unknown topics in the request cause failures. It does document the response shape, which partially compensates for the missing semantics.

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 schema description coverage is 0%, and the description fails to compensate despite the low coverage. While the phrase 'requested topic' loosely echoes the 'topics' parameter, it adds no semantic detail, constraints, format, or examples beyond what the schema already states (array of strings).

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 a strong action verb ('Return') with a clear resource ('values for every requested topic'), making the batch-read purpose obvious. It distinguishes from nt_get via the name's 'multiple' qualifier, though the description text itself doesn't explicitly contrast with siblings, so it stops short of a 5.

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 explicit guidance is provided on when to use this tool vs. alternatives. The existence of nt_get (singular) makes the batch-vs-single contrast inferable, but the description never states when to prefer this tool, names an alternative, or gives a rule of thumb, leaving the agent to infer all usage context from the name and sibling list.

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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