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jackleeio

bnbot-mcp-server

by jackleeio

account_analytics

Retrieve Twitter/X account analytics for a chosen date range, aggregated daily, weekly, or monthly, to track performance trends over time.

Instructions

Get Twitter/X account analytics data for a date range.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endDateNoEnd date in YYYY-MM-DD format
startDateNoStart date in YYYY-MM-DD format
granularityNoAggregation level for time series data

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden and discloses almost nothing beyond the operation itself. It does not state authentication requirements, whether the account must be the caller's own, rate limits, or what happens if the range is empty—all material for an analytics endpoint.

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?

A single front-loaded sentence with zero filler, which is efficient. It is arguably too terse given the tool's complexity, but there is no wasted structure or redundancy.

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?

There is no output schema and no annotations, so the description should compensate—yet it says nothing about what analytics metrics are returned, how granularity affects the response, or authentication prerequisites. For a three-parameter data tool with zero structured support, this is under-specified.

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 startDate/endDate formats and the granularity enum are already fully documented in the schema, making 3 the baseline. The description's only added signal is the phrase 'date range', which maps to the two date parameters but adds no format or constraint detail.

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 states a specific verb ('Get') and resource ('Twitter/X account analytics data') with a stated scope ('for a date range'). It is clearly distinguishable from the sibling tools, which are almost all navigation/scraping/posting actions, though it does not explicitly name a sibling it replaces.

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?

There is no guidance on when to use this tool versus alternatives, no prerequisites (e.g., must be logged in to an account), and no mention of which account's analytics are returned. The single sentence only describes what it fetches, not when or why to reach for it.

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