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AutomateLab-tech

SEO Performance MCP

AI-citation losses per URL

posts.cite_loss
Read-onlyIdempotent

Identify which large language models have stopped citing a URL, including the original query and last-seen date, to track citation loss over time.

Instructions

Return the list of LLMs that previously cited this URL but no longer do, with the prior query and last-seen date. Optionally includes the URL that replaced ours.

Requires a configured citation-intelligence MCP endpoint (CITATION_INTELLIGENCE_URL). Otherwise returns an empty list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesCanonical URL of the post.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
activeYes
lossesYes
Behavior4/5

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

Annotations indicate read-only, idempotent, non-destructive, open-world. The description adds that the tool requires configuration and optionally includes replacement URL, without contradicting annotations.

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, both essential: first explains what the tool returns, second states a critical prerequisite. No redundant content.

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

Completeness5/5

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

Given a single parameter, output schema present, and low complexity, the description covers all necessary information: output details, optional replacement, and configuration requirement.

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 single parameter 'url' is fully described in the schema (100% coverage) with format and meaning. The tool description does not add further parameter details, so baseline 3 is appropriate.

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 that the tool returns a list of LLMs that no longer cite a given URL, including prior query and last-seen date, and optionally the replacing URL. This is specific and distinguishes from siblings like 'posts.decay_curve'.

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 notes the prerequisite of a configured citation-intelligence MCP endpoint, and the behavior when not configured (returns empty list). It does not explicitly compare to alternatives but provides clear context for use.

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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