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christophejlegros-lgtm

ASTRA — Unified Research Lab + MCP Server

np_query_spike_events

Retrieve individual spike timings from a neural recording database for a specified channel and time window, enabling analysis of spike events.

Instructions

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

Input Schema

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

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

No annotations provided; the description does not disclose side effects, authorization needs, or confirm read-only nature. The term 'Query' implies safety but is not explicit.

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?

Extremely brief, but at the cost of completeness. The single sentence conveys basic purpose but omits crucial details, making it under-specified rather than efficiently concise.

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?

Given no output schema and moderate complexity, the description fails to explain what the query returns, how it handles edge cases (e.g., empty results), or any limitations. It lacks completeness.

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?

Only 33% of parameters have schema descriptions (window_sec), and the tool description adds no parameter information. For a 3-parameter tool with low coverage, the description should explain each parameter's role; it does not.

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 clearly states the verb ('Query') and resource ('SpikeEvent: individual spike timings over a window'), distinguishing it from sibling count tools like np_count_spikes. However, it lacks specificity on what exactly is returned (e.g., list of timestamps per channel).

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 versus siblings (e.g., np_count_spikes vs. spike events). No explicit conditions or prerequisites mentioned.

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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