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competlab-mcp-server

by competlab

get_positioning_history

Read-only

Retrieve paginated history of Positioning monitoring runs for a project to track changes over time. Use pagination.hasMore to load more pages; nulls mark unanalyzable homepages, not zero values.

Instructions

Get paginated history of Positioning monitoring runs. Check pagination.hasMore to fetch additional pages. Same summary shape and same reading rule as get_positioning_dashboard: a null is a run whose homepage we could not analyze, never a zero or an empty headline.

Input Schema

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

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv4.0.1
    • removedInput schema / additionalProperties
      Removed value: -false
    • addedInput schema / properties / page / maximum
      Added value: +9007199254740991
  2. First observedv1.0.0

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuinely useful interpretive behavior beyond that: a null entry means an unanalyzable homepage, not a zero or empty result, which an agent cannot infer from the schema or 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?

Three tight sentences with zero filler; the pagination cue and the null-semantics warning are each front-loaded and earn their place.

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?

There is no output schema, so the description carries the return-value burden and does so reasonably: it points to the dashboard's summary shape, gives a pagination signal (pagination.hasMore), and explains the null convention. The actual summary fields are deferred to another tool rather than spelled out, so it is strong but not fully self-contained.

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 coverage is 100%, so page, limit, and projectId are fully documented in the schema with defaults and bounds. The description adds no additional parameter meaning, so the baseline of 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?

States a specific verb and resource ('Get paginated history of Positioning monitoring runs'), which distinguishes it from the dashboard-style siblings by making clear this is the run-history listing. It links explicitly to get_positioning_dashboard for shape, though it never mentions get_positioning_run_detail, so differentiation from all siblings is incomplete.

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

Usage Guidelines3/5

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

Provides operational guidance on pagination ('Check pagination.hasMore to fetch additional pages'), which is a real usage instruction. However, it never says when to prefer this tool over get_positioning_dashboard or get_positioning_run_detail, leaving the selection context to inference.

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