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Read AI traffic for a URL

read_ai_traffic_url
Read-onlyIdempotent

The AI crawler and referral timeline of one page on the project site, for a range. Use it after read_ai_traffic_pages names the page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
rangeNo
end_dateNo
project_idYes
start_dateNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and closed-world, so the safety profile is fully covered by structured data. The description adds only that the output is a 'timeline ... for a range,' with no detail on pagination, granularity, or size limits. Adequate but thin on top of 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 tight sentences with the resource described first and the routing hint second. No filler, no repetition of the title, nothing that could be cut.

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?

With no output schema and five parameters at 0% schema coverage, the description should explain what the timeline returns and how the date parameters interact. It does neither, leaving an agent unsure what the response contains and how to combine range with start_date/end_date.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must carry all five parameters, yet it only glosses 'url' as 'one page on the project site' and vaguely references 'a range.' The relationship between range and start_date/end_date — clearly mutually related filters — is never explained, and project_id is untouched.

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?

Names the specific resource and scope: the AI crawler and referral timeline for a single page on the project site, over a range. It clearly is not the pages-listing tool, since it points to read_ai_traffic_pages as the discovery step. The only slight weakness is the noun-phrase phrasing rather than a concrete verb, but the intent is unambiguous.

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?

Gives an explicit sequencing rule: 'Use it after read_ai_traffic_pages names the page,' which tells the agent this is a drill-down reached from the pages tool. No negative guidance about when not to call it or how it differs from read_ai_referrals/read_ai_crawlability, which keeps it out of the 5 band.

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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