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log-10x

Log10x MCP Server

Official
by log-10x

Services

log10x_services
Read-onlyIdempotent

List all services Log10x watches ranked by byte volume and cost, with per-service share and drop/offload/compact/pass action columns to pinpoint where log spend goes and what to optimize.

Instructions

[FRESH-SESSION ROUTING: if this is the user first cost question of the session, call log10x_start first instead — it returns the orientation menu the user needs before any per-tool action.] List every service the Log10x pipeline is watching, ranked by byte volume (with cost overlay when $/GB is set) plus per-service share of total AND the four action-axis columns (bytes_passed / bytes_offloaded / bytes_compacted / bytes_dropped) derived by joining routeState="drop" events against the cap-CSV. Pass exception_services to mark customer-flagged services as current_mode=pass — their next_action points at log10x_pattern_mitigate instead of log10x_configure_engine. Call first on open-ended cost questions, before drilling into a specific service.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
viewNoOutput format. Always "summary" — the typed envelope (data.services[], data.totals). Field retained for backward-compat.summary
siem_lensNoWhat-if destination lens: price the per-service $/mo columns at this destination's list rates instead of the connected pipeline's (env-configured rates never cross destinations). Volumes/patterns are unaffected; the envelope stamps siem_actual vs siem_lens.
timeRangeNoTime range. Sub-day values available for incident-window service ranking. '24h' and '1d' are equivalent.7d
environmentNoEnvironment nickname
analyzerCostNoSIEM ingestion cost in $/GB
monthly_volume_gbNoWhat-if volume lens (forecast mode): model the environment at THIS monthly volume (decimal GB/month) instead of its measured volume. The real per-pattern shares and pattern mix are held fixed; only absolute bytes and dollars scale, by one uniform factor. Use it to project a prospect onto their own scale, or to forecast a real env after growth. Pairs with siem_lens. This is a PROJECTION: the envelope stamps volume_actual_gb vs volume_projected_gb and the scale factor, and the note points at the POC for the caller real patterns.
exception_servicesNoCustomer-flagged services that must stay in the SIEM with full retention (audit / regulatory / executive). Per row, marks current_mode="pass" and points next_action at pattern_mitigate instead of the configure_engine bulk path.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
toolYes
viewNosummary
imagesNo
actionsNo
summaryYes
warningsNo
truncatedNo
next_cursorNo
render_hintNo
generated_atYes
schema_epochYes
schema_versionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.30.7

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds non-obvious behavior: the cost overlay only activates when $/GB is set, the action-axis columns come from a join against routeState="drop" events and the cap-CSV, and exception_services flips current_mode to pass and changes the downstream next_action target.

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?

Dense but front-loaded, with the fresh-session routing placed first and the call-first guidance last. It is longer than strictly necessary and packs derivation detail into one long sentence, but nearly every clause carries actionable information rather than restating the name.

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

Completeness5/5

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

An output schema exists, so return values need not be explained, and the description still covers routing, ranking, the conditional cost overlay, exception handling, and the derived columns. For a 7-parameter read-only tool this is complete enough to invoke correctly without opening anything else.

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

Parameters4/5

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

Schema coverage is 100%, so the schema already documents siem_lens, monthly_volume_gb, timeRange, view, and analyzerCost. The description still adds consequence-level meaning that the schema does not: what exception_services does to current_mode and next_action, and the conditional coupling of the cost overlay to a set $/GB.

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?

States a precise verb and resource ('List every service the Log10x pipeline is watching') and specifies the ranking key, the cost overlay, the share-of-total column, and the four action-axis columns. An agent knows exactly what this returns and how it differs from drill-down siblings like log10x_pattern_detail.

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

Usage Guidelines5/5

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

The routing preamble names a concrete alternative (log10x_start) with the exact condition that selects it (first cost question of the session), and the closing line states when to call this versus drilling into a specific service. The exception_services path also re-routes next_action toward log10x_pattern_mitigate rather than log10x_configure_engine, giving explicit alternative routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.