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DACIX — The Store for AI Agents

analyze_seo

Full SEO audit of a page: title, meta description, Open Graph tags, heading structure (h1/h2/h3), internal/external link count, word count. 5 credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesPublic http(s) URL
api_keyYesYour DACIX API key (dacix_sk_...). Get one with store_register.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

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 burden for behavioral disclosure. It mentions a 5-credit cost and lists output elements, implying a safe read operation. However, it does not explicitly state read-only behavior, potential failure modes (e.g., non-public URLs), or rate limiting.

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?

Single sentence that front-loads the core purpose and list deliverables, ending with the credit cost. No filler or redundancy.

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 fetch-audit tool with two well-documented parameters and no output schema, the description covers the main output items and cost. Minor gaps: no mention of error handling, timeout, or page size limits.

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% with descriptions for both 'url' and 'api_key'. The description adds no further parameter meaning; '5 credits' is a cost note, not parameter guidance. Baseline 3 is appropriate as the schema already documents parameters.

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 uses 'Full SEO audit of a page' as a specific verb-resource combination and enumerates the exact elements checked (title, meta description, OG tags, headings, links, word count), clearly distinguishing it from sibling tools like web_crawl, web_fetch, and compare_pages.

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 explicit guidance on when to use this tool versus alternatives such as compare_pages or web_crawl. The description does not mention prerequisites, limitations, or suitable contexts beyond the implicit SEO auditing use case.

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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