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RadiumGu

GCP Billing and Monitoring MCP Server

by RadiumGu

Comprehensive Log Search

gcp-logging-search-comprehensive

Search across all Google Cloud Platform log fields including payloads, labels, HTTP requests, and metadata to find specific entries by term, time range, severity, or resource type.

Instructions

Search across all log fields including textPayload, jsonPayload, protoPayload, labels, HTTP requests, and metadata. Provides maximum context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchTermYesTerm to search for across all payload types and fields
timeRangeNoTime range to search (e.g., "1h", "24h", "7d")1h
severityNoMinimum severity level to filter by
resourceNoResource type to filter by (e.g., "cloud_function", "gke_container")
limitNoMaximum number of log entries to return
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions 'maximum context' but doesn't disclose behavioral traits like whether this is a read-only operation, potential performance impact, rate limits, authentication requirements, or what 'maximum context' entails in practice. The description is too vague to guide safe usage.

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

Conciseness4/5

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

The description is a single, efficient sentence that front-loads the core functionality. It could be slightly more structured by separating scope from purpose, but it avoids unnecessary words and gets straight to the point without redundancy.

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?

For a search tool with 5 parameters, no annotations, and no output schema, the description is inadequate. It lacks crucial context about behavioral traits, output format, error handling, and differentiation from siblings. The mention of 'maximum context' is vague and doesn't compensate for missing structural information.

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 parameters are well-documented in the schema. The description adds minimal value beyond the schema by mentioning 'all log fields including textPayload, jsonPayload, protoPayload, labels, HTTP requests, and metadata', which provides context about what 'searchTerm' applies to, but doesn't explain parameter interactions or usage nuances.

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 tool searches across all log fields and provides maximum context, specifying verb ('Search') and resource ('log fields'). However, it doesn't explicitly differentiate from sibling 'gcp-logging-query-logs' and 'gcp-logging-query-time-range', which likely have overlapping functionality.

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?

The description provides no guidance on when to use this tool versus alternatives like 'gcp-logging-query-logs' or 'gcp-logging-query-time-range'. It mentions 'maximum context' but doesn't specify use cases, exclusions, or prerequisites for choosing this comprehensive search over simpler queries.

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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