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AutomateLab-tech

SEO Performance MCP

Cohort report across posts

cohort.report
Read-only

Analyze a cohort of URLs to produce a ranked table of verdicts sorted by priority and confidence, enabling rapid refresh decisions.

Instructions

Run the verdict engine across a cohort (filtered by tag and/or min-age) and return a ranked table sorted by verdict priority then confidence.

Practical use: 'which three posts should I refresh this week?' - the top three rows with verdict=refresh and highest confidence are the answer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlsNoExplicit list of post URLs to include. Overrides sitemap discovery.
sitemap_urlNoSitemap URL to enumerate the cohort. Falls back to POSTS_SITEMAP_URL env var.
windowNo
min_age_daysNo
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
rowsYes
Behavior4/5

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

Annotations (readOnlyHint=true) already indicate it's a read operation. The description adds that it runs the verdict engine, returns a sorted table, and can use sitemap_url or explicit urls. This provides useful behavioral context beyond annotations. No contradiction.

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 sentences, directly stating the action and a practical use case. No redundant information, front-loaded with the core functionality. Efficient and clear.

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

Completeness4/5

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

Given that an output schema exists and annotations are present, the description provides a high-level overview and a use case. However, it lacks explanation of how cohort filtering works with the available parameters (e.g., the missing tag parameter). Overall, reasonably complete but a minor gap.

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 low (40%). The description adds meaning by explaining min_age_days as a filter and mentioning 'tag' (though not in schema), but does not elaborate on window, limit, or the interaction between urls and sitemap_url. Partially compensates for low schema coverage but leaves gaps.

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 'Run the verdict engine across a cohort... return a ranked table sorted by verdict priority then confidence'. The title 'Cohort report across posts' aligns, and the practical use case differentiates it from siblings like posts.verdict (single post) or posts.list (listing without verdicts).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives a concrete use case: 'which three posts should I refresh this week?' indicating when to use (cohort evaluation for refresh decisions). It mentions filtering by tag and min-age, but the schema lacks a tag parameter, slightly reducing clarity. No explicit exclusions or alternatives 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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