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horizonbymuneeb

linkedin-mcp-pro

get_top_posting_hours

Analyze post audit distribution across 24 hours to identify top posting hours over a customizable time period.

Instructions

Distribution of post audits by hour-of-day (0..23, UTC) over the last days days. All 24 hours are present (zero-filled).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNo
Behavior3/5

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

Without annotations, the description bears full burden. It states all 24 hours are present and zero-filled, which is useful. However, it does not disclose read-only nature, permission needs, rate limits, or aggregation details. Partial but not comprehensive.

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 concise sentences front-load the primary purpose and add a critical detail (zero-filling). Every word earns its place with no redundancy.

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?

Given no output schema and no annotations, the description is minimal. It explains what the tool returns but not the return format (e.g., array of 24 numbers) or how to interpret the distribution. Adequate for a simple tool but not comprehensive.

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 0%, so the description must compensate. It mentions 'last \`\`days\`\` days', which reiterates the parameter name but adds little meaning beyond the schema's type and default. Lacks explanation of what 'days' represents.

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 specifies the tool returns a distribution of post audits by hour-of-day (0..23, UTC) over a given number of days, using strong verbs and distinguishing it from sibling 'get_top_posting_days'. The mention of zero-filling adds precision.

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?

The description implies usage for hourly patterns but provides no explicit guidance on when to use this tool versus siblings like 'get_top_posting_days' or others. No when-not or alternative suggestions are given.

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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