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Get Source Url Type Analytics Tool

get-source-url-type-analytics-tool
Read-onlyIdempotent

Citation breakdown by URL-type classification (e.g. article, documentation, product_page). Unpaginated: one row per URL-type enum value. Cannot be scoped by segment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoTag IDs (prompt classifiers) to limit responses by. Optional.
end_dateYesInclusive UTC end of the analytics window. Must be on or after `start_date` and on or before today.
intervalNoBucket granularity for time-series tools. One of: day, week, month, year. Required for time-series tools, ignored for aggregate tools.
monitorsNoMonitor IDs in the active project. Optional.
countriesNoISO-3166-1 alpha-2 country codes to include. Optional.
platformsNoAI platforms to include. Optional. Values: chatgpt, perplexity, gemini, grok, copilot, claude, google_ai_mode, google_ai_overview.
project_idYesProject to compute analytics for.
start_dateYesInclusive UTC start of the analytics window. ISO 8601 date (YYYY-MM-DD).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already cover the safety profile (readOnlyHint, idempotentHint, destructiveHint=false), so the bar is lower. The description adds genuinely useful behavior beyond them: the result is unpaginated with exactly one row per URL-type enum value, and segment scoping is unsupported. It stops short of describing the metrics/fields returned.

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?

Three tight sentences with zero filler, front-loading what the tool computes before the two operational constraints. Every clause earns its place.

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?

For an 8-parameter aggregate tool with full schema coverage and a strong annotation set, the description supplies the key return-shape and scoping facts an agent needs. The only meaningful gap is the lack of routing guidance relative to the similarly-named source-type and source-url analytics siblings.

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 every parameter is already documented in the schema and the baseline is 3. The description adds no syntax, format, or default details about parameters (it never references tags, monitors, platforms, interval, etc.), so it does not exceed the schema's contribution.

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?

States a specific verb and resource: 'Citation breakdown by URL-type classification,' with concrete examples of the classification values (article, documentation, product_page). It is clear what the tool returns, but it never differentiates itself from the closely-named sibling get-source-type-analytics-tool or from list-source-url-analytics-tool, which an agent must disambiguate on its own.

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 gives constraints ('Unpaginated', 'Cannot be scoped by segment') that imply when this tool is and isn't appropriate, but it never names an alternative or states the positive condition under which an agent should pick this over the sibling source-type or source-url analytics tools. Usage is only implied.

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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