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get_analytics_posts

Retrieve top posts analytics from Parse.ly with metrics like views, visitors, and engagement time. Filter by date range, tag, or section to measure content performance.

Instructions

Get analytics data for top posts from Parse.ly. Returns metrics like views, visitors, and engagement time. Supports specific date ranges.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagNoFilter by content tag
daysNoNumber of days to look back (default: 7, ignored if period_start set)
sortNoSort field (e.g., "hits", "avg_engaged_time")
limitNoNumber of results to return (default: 10)
sectionNoFilter by content section
period_endNoEnd date for traffic window (YYYY-MM-DD)
period_startNoStart date for traffic window (YYYY-MM-DD)
pub_date_endNoFilter by content published before this date
pub_date_startNoFilter by content published after this date
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It mentions that the tool returns metrics and supports date ranges, but does not add deeper context such as pagination, sorting behavior, or how 'top' is determined. This is minimal but not misleading.

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 two short sentences, front-loaded with the core action and resource. Every word earns its place with no redundancy or filler.

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?

Despite 9 parameters and no output schema, the description is very brief. It does not explain what 'top' means, how parameters interact (e.g., days vs period_start), or what the response structure looks like. The schema covers parameter details, but the overall tool context is insufficient.

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%, so the baseline is 3. The description adds no parameter-specific detail beyond what the schema already provides; it only mentions generic support for date ranges, which is already covered by period_start/period_end/days fields.

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 states the tool retrieves analytics data for top posts from Parse.ly, using a specific verb ('Get') and resource ('analytics data for top posts'). This distinguishes it from sibling tools like get_analytics_authors or get_analytics_tags.

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?

No explicit guidance on when to use this tool versus alternatives. The description implies it is for post-level analytics, but does not mention when it should be preferred over author/tag analytics or search_content. No exclusions or alternative tool mentions are provided.

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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