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lmtNoLimit

mcp-facebook

by lmtNoLimit

facebook_get_insights

Retrieve Facebook Page analytics insights by selecting a metric, period, and optional date preset to track views, fans, engagement, and clicks.

Instructions

Retrieve Page-level analytics insights from Facebook. Choose a metric, aggregation period, and optional date preset.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
metricNoThe insight metric to retrieve. Default: page_views_total. Deprecated metrics like impressions are excluded.page_views_total
periodNoAggregation period: day, week, days_28, month, or lifetime. Default: day.day
date_presetNoOptional date preset (e.g. 'last_week', 'this_month'). Overrides since/until if provided.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. 'Retrieve' implies a read, but it says nothing about required page/account context, access-token scope, rate limits, pagination, or what 'lifetime' does to the response. For a tool with zero annotation coverage this is a meaningful gap.

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, front-loaded with the core action and followed by the configurable inputs. No filler, no repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 3-param read tool with full enum coverage this is minimally adequate, but with no output schema and no annotations the description leaves the return shape and any call prerequisites unaddressed.

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 description coverage is 100% and all three enum parameters are documented with defaults and value meanings (including the note that deprecated metrics like impressions are excluded). The description only restates the parameter names generically, adding nothing the schema does not already provide, so the 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?

States a specific verb and resource: 'Retrieve Page-level analytics insights from Facebook,' and enumerates the three configurable knobs. It is unmistakably distinct from the sibling set (all post/comment operations), though it does not name them explicitly.

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?

'Choose a metric, aggregation period, and optional date preset' implies how to use the tool but gives no when-to-use condition, no prerequisites, and no exclusions. The usage context is inferable rather than stated.

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