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SerpstatGlobal

LLM Brand Monitor MCP Server

Official

lbm_list_scans

Read-onlyIdempotent

Retrieve scan history for a brand monitoring project. Lists scans with status, creation date, and results count; supports filters and pagination.

Instructions

WHEN TO USE: To see the scan history for a project — all past and current scans with their statuses. REQUIRES: project_id from lbm_list_projects. RETURNS: Compact CSV with scan_id, status, created_at, results_count (default). Set include_all_fields=true for full JSON.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoItems per page (default: 20, max: 100)
offsetNoItems to skip (default: 0)
statusNoOptional: filter by status (queued, running, completed, partial, failed)
project_idYesProject ID
include_all_fieldsNoSet true for full JSON response. Default: false (compact CSV — recommended).
Behavior4/5

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

Annotations already provide readOnlyHint=true and destructiveHint=false. Description adds default output format (CSV) and effect of include_all_fields, consistent with annotations.

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 sentences with clear sections (WHEN TO USE, REQUIRES, RETURNS). Every sentence is informative and front-loaded.

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?

Tool has 5 params and no output schema. Description covers return format and fields, necessary prerequisite, and optional filters. Lacks pagination details but schema covers them.

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 covers 100% of params. Description adds context for include_all_fields (recommended default) and lists default return fields (scan_id, status, created_at, results_count), adding value beyond schema.

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 it lists scan history for a project with statuses. It distinguishes from siblings like lbm_get_scan_status (single scan) by being a list operation.

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

Usage Guidelines4/5

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

Explicitly states when to use and requires project_id from lbm_list_projects. Does not list alternatives but sibling tools imply differentiation.

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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