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thincms_seo_audit

Run an SEO audit across published posts and pages to identify missing meta descriptions, title issues, thin content, and duplicate titles. Get a summary with score and per-item issue list.

Instructions

Run an SEO audit across all published posts and pages. Reports missing meta descriptions, missing meta titles, title length issues, missing OG images, thin content, missing excerpts, and duplicate titles. Returns a summary with score and a list of issues per item.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteIdNoOverride the active site for this single call. Pass to target a specific tenant without mutating shared active-site state — the right pattern when running concurrent agent sessions managing different tenants. Must match a siteId from your THINCMS_SITES config (use thincms_list_sites to inspect). When omitted, the call uses the active site set by thincms_switch_site.
confirmProductionWriteNoAcknowledge that this call may write to a configured production site (THINCMS_PRODUCTION_SITE_IDS env var). Required for any POST/PUT/PATCH/DELETE against a production-listed site; ignored otherwise. The error message lists which site triggered the requirement and recommends thincms_snapshot before any production write.
Behavior2/5

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

The description implies a read-only audit, but the input schema includes confirmProductionWrite (acknowledging writes to production), creating a contradiction. The description does not explain whether the audit modifies data or has side effects, nor does it mention rate limits or other behavioral traits.

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 concise (two sentences) and front-loads the action. However, the list of checks could be better integrated into a structured format, and the sentence on output is clear.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the absence of an output schema, the description adequately mentions a summary with score and issues list. However, it fails to clarify the write potential implied by confirmProductionWrite and doesn't differentiate from sibling SEO tools.

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 detailed descriptions for both parameters (siteId and confirmProductionWrite). The tool description adds no additional meaning beyond the schema, so a baseline of 3 is appropriate.

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 runs an SEO audit across all published posts and pages, lists specific checks (missing meta descriptions, titles, OG images, etc.), and notes the output. However, it does not differentiate itself from sibling tools like thincms_seo_analyze or thincms_seo_check_links, which could cause confusion.

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?

There is no guidance on when to use this tool versus alternatives (e.g., seo_analyze, check_links). The description only explains what it does, not the optimal use context or exclusions.

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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