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krzko

Google Cloud MCP Server

by krzko

Query Logs

gcp-logging-query-logs

Search Google Cloud logs using custom filters across all payload types and metadata fields.

Instructions

Query Google Cloud Logs with custom filters. Searches across all payload types (text, JSON, proto) and metadata fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterYesThe filter to apply to logs (Cloud Logging query language)
limitNoMaximum number of log entries to return
Behavior2/5

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

No annotations provided, and the description gives minimal behavioral context. It does not mention pagination, cost implications, or what happens with large result sets. The only extra info is 'searches across all payload types' which is nearly tautological.

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?

Two concise sentences front-loading the primary action. No unnecessary words or repetition.

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 no annotations, the description is too brief. It does not explain return format, time range defaults, error handling, or any constraints on the search.

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 coverage is 100%, so the description adds no additional meaning beyond the schema. It mentions 'custom filters' but does not elaborate on filter syntax or usage.

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?

Clearly states the tool queries Google Cloud Logs with custom filters across all payload types and metadata fields. However, it does not explicitly distinguish from sibling tools like gcp-logging-query-time-range or gcp-logging-search-comprehensive.

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 alternatives (e.g., time-range query or comprehensive search). No prerequisites or context about appropriate 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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