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get_site_requirements

Read-only

What 'good' means for THIS kind of site — a dental clinic and a SaaS docs site need different things. Returns the detected site type and a pass/fail/unknown checklist with why each matters and how to fix it. 'unknown' means we have not measured it yet (usually no crawl), never that it failed. Requires a completed crawl to evaluate.

Input Schema

NameRequiredDescriptionDefault
site_idYesThe site ID
site_typeNoOverride the detected type (saas, ecommerce, local_business, content_publisher, b2b_services, healthcare, portfolio_brand, general). Persisted as user-set.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=true), so the description's added value is interpretive: the meaning of the 'unknown' state, the crawl prerequisite, and that site_type is persisted as user-set (which explains the non-idempotent hint). That is useful context beyond structured fields, though output shape details remain thin.

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?

Four dense sentences with the result shape front-loaded and the critical 'unknown' caveat and prerequisite called out. The opening analogy ('a dental clinic and a SaaS docs site need different things') is motivational filler that a stricter reading would trim, but nothing is misleading.

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

Completeness5/5

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

With no output schema, the description carries the return-value burden and does so: it names the detected type, the checklist's three states, and the accompanying 'why' and 'how to fix' content. The crawl prerequisite closes the remaining gap an agent would need before calling.

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 the parameters are already fully documented, including the site_type override and its persisted nature. The description adds the concept of 'detected type' vs override but no new syntax or constraints, so baseline 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?

The description states concretely what the tool delivers: the detected site type plus a pass/fail/unknown checklist with rationales and fixes. It is distinguishable from audit-framework and health siblings by its site-type-relative framing, but it never explicitly names or contrasts those siblings, so it stops short of a 5.

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?

It gives a clear precondition ('Requires a completed crawl to evaluate') and warns how to read results ('unknown' means not yet measured, never failed), which is real usage steering. It does not, however, say when to prefer this over get_audit_framework or technical_health.

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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