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spraay_logs_query

Read-only

Query structured logs by service, level, and time range. Returns newest entries first. Cost: $0.003 USDC.

Instructions

Query structured logs by service, level, and time range. Returns matching log entries sorted newest first. Data persists in Supabase. Costs $0.003 USDC.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
levelNoFilter by log level
limitNoMax results to return (default: '50', max: '500')
sinceNoStart time in ISO 8601 format (e.g. '2026-03-01T00:00:00Z')
serviceNoFilter by service name (e.g. 'batch-agent')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesTrue when the gateway call succeeded; false when it returned an error.
dataNoThe gateway response payload on success. The exact shape depends on the tool (see the tool description and the JSON in the text content block).
errorNoHuman-readable error message, present only when ok is false.
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds useful context about data persistence (Supabase) and cost ($0.003 USDC), but does not mention pagination, rate limits, or result truncation.

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 three short sentences, each adding distinct information: purpose and filters, sorting behavior, and contextual details (persistence and cost). It is front-loaded and free of 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 presence of an output schema and annotations, the description covers the tool's core function, sorting, cost, and data persistence. It does not mention pagination or the default/ maximum limit, but these are noted in the schema. Overall, it is complete enough for a query tool.

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

Parameters3/5

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

Schema description coverage is 100%, so every parameter is already described in the schema. The description only summarizes the filters ('service, level, and time range') without adding new meaning or usage constraints beyond what the schema provides.

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?

The description clearly states the action ('Query'), the resource ('structured logs'), and the available filters ('by service, level, and time range'). It also notes the return sorting ('newest first'), which distinguishes it from ingestion or audit tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not provide explicit guidance on when to use this tool versus alternatives like spraay_audit_query or spraay_logs_ingest. The purpose is clear but the context for selection is implied rather than stated.

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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