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TeamDay-AI

SE Ranking MCP Server

by TeamDay-AI

Get Audit Pages By Issue

DATA_getAuditPagesByIssue

Retrieves a paginated list of URLs affected by a specific issue identified in an SEO audit. Helps pinpoint pages needing attention for targeted optimization.

Instructions

Data Tool: Retrieves a paginated list of all URLs affected by a specific issue within a given audit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesUnique code for the issue (e.g., title_duplicate).
limitNoNumber of URLs to return in the list.
offsetNoStarting position (offset) for the list of URLs.
audit_idYesUnique identifier of the audit report.
Behavior2/5

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

No annotations are present, so the description must disclose behavioral traits. It mentions pagination but lacks information on read-only nature, authorization requirements, rate limits, or data freshness. The description is minimal.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence, though it includes an unnecessary 'Data Tool:' prefix. It conveys the main purpose efficiently.

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?

No output schema is provided, and the description does not clarify the return format beyond 'list of URLs'. With siblings covering many similar tools, more detail about pagination and expected response would help.

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 coverage is 100%, so the baseline is 3. The description adds no extra meaning beyond the schema, which already describes each parameter adequately.

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?

The description clearly states the tool retrieves a paginated list of URLs affected by a specific issue within an audit. It uses a specific verb and resource, and differentiates from sibling DATA_getIssuesByUrl which does the opposite. However, the 'Data Tool:' prefix is redundant.

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 guidance is provided on when to use this tool versus alternatives like DATA_getIssuesByUrl or other audit tools. The description only states what the tool does without context.

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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