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christophejlegros-lgtm

ASTRA — Unified Research Lab + MCP Server

np_query_spike_events

Query individual spike timings from a neural simulation database over a configurable time window, with options to set lookback period and result limit.

Instructions

NeuroPlatform v2 DB — SpikeEventQuery: individual spike timings over a window

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
window_secNoLook back this many seconds
fsnameNofs264
limitNo
Behavior2/5

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

No annotations exist, and the description does not disclose side effects, read-only nature, performance implications, or what constitutes a 'window'. Only a vague indication of return type.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Overly concise single sentence—lacks necessary detail such as parameter descriptions or return format. Efficiency is undermined by missing critical information.

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

Completeness1/5

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

Tool has 3 parameters, no output schema, and no annotations. Description omits return value structure, constraints, and differentiation from many siblings, making it inadequate for correct usage.

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

Parameters1/5

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

Description adds no explanation for parameters (window_sec, fsname, limit) beyond schema defaults. 'fsname' remains cryptic, and schema coverage is low (33%), so description fails to compensate.

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?

Clear statement: 'individual spike timings over a window' specifies the tool returns detailed timing data, distinguishing it from count-based siblings like np_query_spike_count.

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 on when to use this vs alternatives (e.g., np_query_spike_count for counts, np_query_triggers for triggers). Missing context on prerequisites or typical use cases.

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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