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run_quick_seo_checkup

Runs a fast technical SEO checkup on any website domain ($7 USD fee deducted from agent balance). Returns scores, categorized issues, and pass lists.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesTarget domain or URL (e.g. example.com).
formatNoOutput format for response.markdown

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?

With no annotations provided, the description carries the full behavioral burden, and it does add valuable disclosure: a concrete $7 fee deducted from the agent balance and the shape of the response (scores, categorized issues, pass lists). It stops short of stating that this is a read-only analysis, whether it touches or modifies the target site, or any rate/latency constraints, so meaningful gaps remain.

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 compact sentences that front-load the action and the cost/return information with no filler. Every clause carries signal and nothing is repeated from the schema.

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 a simple two-parameter tool with no output schema, the description covers the essentials: what runs, what it costs, and what comes back. Its only real shortfall is the missing routing guidance versus sibling tools and lack of any note on read-only behavior, which is a modest gap rather than a blocker.

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 both the 'domain' and 'format' parameters (including the json/markdown enum) are already documented in the schema. The description adds no format syntax, domain normalization rules, or default-format guidance beyond what the structured fields provide, so the baseline of 3 applies.

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 ('Runs a fast technical SEO checkup on any website domain'), so the agent knows exactly what the tool does. The word 'quick' faintly signals a lighter counterpart to the sibling run_full_seo_audit, but the description never names that sibling explicitly, so differentiation relies on inference.

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?

Usage is only implied through the word 'fast'/'quick', which suggests choosing this over a heavier full audit, but there is no explicit when-to-use statement, no exclusions, and no reference to run_full_seo_audit or the narrower sibling checks. The agent must guess at the selection boundary.

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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