Skip to main content
Glama
competlab

competlab-mcp-server

get_content_history

Retrieve paginated history of Content Intelligence monitoring runs to compare competitor sitemap snapshots over time. Access completion timestamps and run IDs to track website changes and analyze content evolution.

Instructions

Get paginated history of Content Intelligence monitoring runs with completion timestamps. Use this to compare content snapshots over time — each run captures sitemap analysis for all competitors. Retrieve specific run data with get_content_run_detail using the runId from this response. Read-only. Returns paginated JSON array with pagination.hasMore flag.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesProject ID (from list_projects)
pageNoPage number (1-indexed, default: 1)
limitNoItems per page (default: 20, max: 100)
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses 'Read-only' (safety), explains return structure 'Returns paginated JSON array with pagination.hasMore flag,' and clarifies data content 'each run captures sitemap analysis for all competitors.' Missing only rate limits or auth details for a 5.

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?

Four sentences, each information-dense: purpose/use-case, what data captures, sibling navigation, read-only/return format. No redundancy, front-loaded with key resource identification, no wasted words.

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?

Given simple 3-parameter flat structure and no output schema, description adequately compensates by explaining return format (JSON array with hasMore flag), data contents (timestamps, sitemap analysis), and cross-tool workflow (projectId from list_projects, runId to get_content_run_detail).

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 has 100% description coverage (projectId, page, limit all documented), establishing baseline 3. Description implies pagination behavior with 'paginated history' and references 'runId from this response,' but does not add syntax guidance or parameter relationships beyond the 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 'Get paginated history of Content Intelligence monitoring runs' — specific verb (Get), resource (Content Intelligence monitoring runs), and scope (paginated history). It distinguishes from siblings like get_content_dashboard (current state) and get_content_run_detail (single run) by emphasizing history/comparison over time.

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?

Explicitly directs to sibling tool: 'Retrieve specific run data with get_content_run_detail using the runId from this response.' Also provides use case context 'Use this to compare content snapshots over time,' clearly indicating when to use this list endpoint versus the detail endpoint.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/competlab/competlab-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server