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sfcc-logs-mcp

by nabhat

search_logs

Search across multiple Salesforce Commerce Cloud log files for specific text patterns, with optional filters for date and log level.

Instructions

Searches across multiple log files matching logLevel/date for a specific text pattern.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoTarget date string (e.g. "YYYYMMDD" or "today"). Defaults to "today".today
limitNoMaximum matching lines to return. Defaults to 20.
patternYesThe text pattern to search for (case-insensitive). Required.
loglevelNoOptional log level to restrict search (error, warn, info, debug, or "all").all
Behavior2/5

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

No annotations provided, so description must disclose behavioral traits. It mentions searching across files but does not describe what is returned (e.g., lines, metadata), side effects, or performance implications. Minimal beyond purpose.

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?

One sentence of 13 words, no wasted text. Front-loads verb 'Searches' and key constraints.

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?

With no output schema, the description should hint at the return value or structure. It does not. Also no mention of read-only nature, pagination, or scope (e.g., which log files). Incomplete given sibling complexity.

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 covers all 4 parameters with descriptions (100% coverage). The description repeats 'logLevel/date' but adds no new semantics beyond the schema. Baseline 3 applies.

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 multiple log files with constraints on logLevel and date for a text pattern. It distinguishes from siblings like 'search_job_logs' by being general rather than job-specific, but could be more explicit.

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 like 'search_job_logs' or 'get_latest_error'. Missing when-not or context for selection.

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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