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np_query_spike_events

Retrieve individual spike timings from a neuroplatform database within a specified look-back window.

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 provided. Description only mentions querying spike timings, with no disclosure of behavioral traits like read-only nature, performance, or side effects.

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

Conciseness3/5

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

Description is very short (one sentence) but misses important details. It is concise but at the expense of completeness.

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

Completeness2/5

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

With 3 parameters, no output schema, and many siblings, the description is insufficient. It does not explain return format, relationship to other spike tools, or usage context.

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?

Only window_sec has a schema description; fsname and limit lack descriptions. The tool description does not add any explanation for these parameters to compensate for the 33% schema coverage.

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?

Description clearly states it queries individual spike timings over a time window, using specific verb and resource. It distinguishes from sibling tools like np_query_spike_count (counts) and np_query_triggers (triggers).

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 tool vs alternatives. Does not explain that it returns individual events vs aggregated counts or triggers.

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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