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get_page_roast

Read-onlyIdempotent

Legends Roast of a page's biggest flaw: score, verdict, SVG. GET /x402/gtm-roast?url= — $0.01.

Input Schema

NameRequiredDescriptionDefault
urlYeshttps page URL
paymentNoOptional. Your x402 payment proof for this exact call — the PAYMENT-SIGNATURE value produced by settling this route's 402 challenge (USDC on Base or Solana), or an MPP 'Authorization: Payment ...' value. Omit on a first call: the tool then returns the live 402 challenge to pay against. This server relays your proof upstream and retries; it never creates or settles payments itself.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already establish that the operation is read-only, idempotent, and non-destructive. The description adds useful context beyond that: it is a paid GET costing $0.01 and returns an SVG along with score and verdict, though it leaves the 402 challenge workflow to the schema's payment parameter description.

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 a single compact sentence that front-loads the main action and output types. It is efficient, though slightly telegraphic in combining a product name, endpoint, and price.

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?

With no output schema, the description appropriately states the return components: score, verdict, and SVG. Combined with the fully described input schema and read-only annotations, it gives enough context for an agent to call the tool correctly.

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 url and payment are already documented in the schema. The description mentions the url query parameter indirectly via '?url=', but adds no parameter meaning beyond what the schema already provides.

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 names a specific action and resource: roasting a page's biggest flaw and returning a score, verdict, and SVG. It is understandable apart from the many sibling tools, though the phrase 'Legends Roast' is product-flavored rather than plain functional language.

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?

The description gives no explicit guidance on when to use this tool versus alternatives such as run_seo_audit, check_security_headers, or get_site_health. It implies usage from the endpoint name and price but does not name exclusions or selection criteria.

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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