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Mzzj114

nt-mcp-server

by Mzzj114

nt_subscribe

Subscribe to FRC NetworkTables topics and receive live updates for a specified duration. Filter by prefix, decimate events, or get summaries to monitor robot data efficiently.

Instructions

Sample value updates under prefixes for duration seconds.

Response: {"connected": bool, "samples": {topic: [...] | summary}}. sample_interval decimates events to one per topic per interval. change_only skips numeric changes at or below the threshold. format="summary" returns min/max/mean/last per topic.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNosamples
durationNo
prefixesYes
change_onlyNo
sample_intervalNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Without annotations, the description must disclose behavior, and it does cover response format, sample_interval decimation, change_only threshold, and format='summary' aggregation. However, it does not mention side effects (e.g., whether the subscription is one-shot or persistent), rate limits, or cleanup requirements. It provides moderate behavioral insight but leaves significant gaps.

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?

The description is exceptionally compact, using three short paragraphs to convey purpose, response format, and key parameter behaviors. Every sentence adds value, and the structure front-loads the core idea before diving into parameter specifics. No fluff or redundancy.

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?

Given the tool's complexity (5 params, output schema present), the description covers the core functionality well: sampling under prefixes, duration, decimation, change thresholds, and summary statistics. It does not address error handling, connection prerequisites, or interaction with sibling tools, but the existence of an output schema and related lifecycle tools mitigate the need for those details. A strong, focused description.

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?

Schema coverage is 0%, so the description must explain parameters. It effectively details sample_interval (decimation), change_only (threshold), and format (samples vs. summary) with behavioral semantics. Prefixes and duration are left implicit, but their meaning is evident from the schema and context. This strongly compensates for the schema's lack of descriptions.

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 specific verb 'Sample' with a clear resource (value updates under prefixes) and a time boundary (duration). The response format is also given, which helps distinguish it from siblings like nt_subscribe_offline. However, it could be more explicit about the subscription mechanism and does not name alternatives, so a 4 is warranted.

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 siblings like nt_subscribe_offline, nt_start_subscription, or nt_poll_subscription. The description focuses solely on parameter effects and output, omitting use cases, prerequisites (e.g., an active nt_connect), or when not to use it. This leaves the agent without decision criteria for tool selection.

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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