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Livia-Zaharia

Just Facebook MCP Server

get_post_clicks

Retrieve click count for Facebook posts to measure content performance and engagement metrics using the Graph API.

Instructions

Fetch number of post clicks. Input: post_id (str) Output: dict with click count

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
post_idYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('fetch') and output format, but lacks details on permissions, rate limits, error handling, or whether this is a read-only operation. For a tool with no annotation coverage, this leaves significant gaps in understanding its behavior.

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?

The description is extremely concise and front-loaded, with three short sentences that directly state the purpose, input, and output without any wasted words. Every sentence earns its place by providing essential information efficiently.

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?

Given the tool's simplicity (1 parameter, no output schema, no annotations), the description is minimal but incomplete. It lacks context on usage, behavioral traits, and parameter details, making it insufficient for an agent to fully understand how to invoke it correctly without additional inference.

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?

The description mentions the input parameter 'post_id' and its type, but with 0% schema description coverage, it doesn't add meaningful semantics beyond what's implied by the name. It doesn't explain what a 'post_id' is, its format, or examples. Since schema coverage is low, the description should compensate more, but it only provides basic info, resulting in an average score.

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 clearly states the tool's purpose with a specific verb ('fetch') and resource ('number of post clicks'), making it immediately understandable. However, it doesn't explicitly differentiate itself from sibling tools like 'get_post_impressions' or 'get_post_share_count', which also retrieve post metrics, so it doesn't reach the highest score.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention any prerequisites, context for usage, or comparisons to sibling tools such as 'get_post_impressions' or 'get_post_share_count', leaving the agent to infer usage based on the name alone.

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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