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Answer-readiness checker

score_answer_readiness
Read-onlyIdempotent

Scores a page out of 100 on 14 published checks: indexable, title and description, one H1, question headings, direct first-sentence answers, structured data, dates, a named author, lists and tables, source links, specific figures, length, declared language and stock AI phrasing. Returns each check's points, what it found and the fix, ordered by points available. Free, no key. Docs: https://aeolookup.com/aeo-tools/answer-readiness-checker/

Input Schema

NameRequiredDescriptionDefault
urlYesThe page or site to check, for example https://example.co.uk/ (https:// is added if missing).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations cover the safety profile (readOnly, idempotent, openWorld), and the description adds genuinely useful operational context: it is free, needs no API key, and returns results ordered by points available with a finding and a fix per check. It stops short of noting rate limits or latency, so not a 5.

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?

One dense sentence for the scoring scope, one for the return shape, then constraints and a docs link. The most important information (what it scores and what you get back) is front-loaded with no filler.

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 correctly compensates by explaining the return shape and ordering, plus cost/auth constraints. It is nearly complete, though it could say more about how the 14 checks are weighed or whether the target must be publicly reachable.

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% and the single `url` parameter is fully documented in the schema, including the https:// fallback behavior. The description adds no parameter-level detail beyond what the schema provides, so the 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?

States a specific verb and resource ('Scores a page out of 100 on 14 published checks') and enumerates the checked dimensions, so the agent knows exactly what it produces. It does not explicitly differentiate itself from overlapping siblings like run_aeo_audit or check_structured_data, which keeps it below 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 Guidelines3/5

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

Usage is implied — check a page's answer readiness — but there is no explicit when-to-use/when-not guidance and no mention of the alternative tools in the sibling set. Given the overlap with run_aeo_audit and check_structured_data, an agent must infer which to pick.

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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