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site_audit_start

Run right after deploying: crawls the site and reports broken links, missing titles/descriptions, redirect chains, thin content and schema gaps — each finding names the page so you can fix it here. Costs credits (price returned before any charge on the confirmation field). Async: poll with site_audit_get.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesSite to audit, e.g. https://example.com
confirmNoSet true only after the user agrees to the quoted credit cost
request_keyNoRequest key returned by the first confirmation response; must be sent back with confirm=true so retries cannot charge twice

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.3/5.0
Behavior5/5

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

Descriptions go beyond annotations by disclosing cost side effects and the two-step confirmation flow: 'Costs credits (price returned before any charge on the confirmation field)'. Also mentions the output structure (each finding names the page) and async behavior. No contradiction with readOnlyHint/destructiveHint.

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?

Three concise sentences pack in when to run, what it does, what content it returns, cost/confirmation behavior, and async polling. Slightly long first sentence but remains readable and efficient without 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?

Given the side-effecting nature (cost, async), the description covers all critical usage context: timing, confirmation flow, cost, and polling method. Without an output schema, it hints at the return shape ('each finding names the page'). Could be more explicit about error handling or cancellation, but not necessary for a minimum-viable usage.

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?

Input schema already provides 100% documentation for all three parameters with clear descriptions. The description adds context about the confirmation flow and cost but does not add new parameter-specific semantics beyond what the schema already covers. Baseline of 3 is appropriate.

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 clearly states the tool crawls a site and reports specific audit findings (broken links, missing titles, etc.), using an imperative verb and identifying the target resource. It also differentiates itself from siblings by noting the async pattern ('Async: poll with site_audit_get') and the timing ('Run right after deploying').

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly tells when to use ('right after deploying') and how to handle async flow, but does not explicitly state when *not* to use it or list alternative tools for contrast. The reference to 'site_audit_get' provides a helpful companion but falls short of a full alternatives comparison.

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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TDQS

A4.3/5.0
Disambiguation5/5

Each tool targets a distinct resource and action: backlink_directories vs research_backlinks differ (directories vs actual backlinks), gsc_* tools cover different views of own data (overview/pages/queries), research_* tools each address a separate question (competitors, domain overview, AI mentions, backlinks), and the trace/audit/report lifecycle tools have clear roles (start, poll, read, unlock). No two tools appear to do the same thing.

Naming Consistency4/5

There is a clear pattern: verb_noun for actions (get_trace, read_report, start_trace, unlock_report, search_reports), research_* prefix for external lookups, gsc_* prefix for own Search Console data, and site_audit_* for audits. Minor inconsistency: backlink_directories doesn't follow the verb_noun style (no verb), but overall the naming is predictable and grouped logically.

Tool Count4/5

At 15 tools, this is at the upper end of the well-scoped range (3-15). Each tool serves a distinct function within the SEO/growth analysis domain, so the count feels justified rather than bloated. However, it's slightly heavy, which is why it misses a 5.

Completeness4/5

The tool surface covers the full lifecycle of growth reports (search, read, start trace, poll, unlock), ownsite GSC data (overview, pages, queries), competitor research (domain, backlinks, brand, competitors), and site audits (start/get). Minor gaps include no way to delete or manage reports beyond reading, and no direct keyword research beyond GSC queries, but the core workflows are complete.