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Citead GEO Score

score_url

Read-onlyIdempotent

Fetch a public web page and compute its GEO score with Citead. Returns the overall score (0 to 100), the score of each criterion (semantic richness, AI citability, freshness, content organization, authority and citations, and naturalness, which does not count in the score), the main fixes to apply, and a citead.com link that shows the analysis again. The GEO score (0 to 100) measures how easy the content is for a language model to understand, reuse and cite: information density, quotable sentences, self-contained paragraphs, sourced and dated facts, clear structure, freshness. Naturalness is returned as a criterion but does not count in the score. It is computed by deterministic rules, without a language model: the same content always gets the same score. It does not guarantee that an AI assistant will cite the page. Free, no API key. Citead does not store the page content or its score; it keeps only daily counts of outcomes, the domain name of sites that block its fetcher (45 days) and per-IP rate-limit counters. The details_url page does not publish the result to the public leaderboard. Pages behind a login or rendered only by JavaScript may not be fetchable: use score_text with the page text instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesPublic http(s) URL of the page to score.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNo
titleNo
criteriaYesScore of each criterion, 0 to 100, in this order: semantic richness, AI citability, freshness, content organization, authority and citations, and naturalness, which does not count in the score. The overall score is computed from sub-signals of the first five, with caps for very short content, so it is not their plain average.
geo_scoreYesOverall GEO score, 0 to 100.
top_fixesYesMain corrections, most important first.
word_countYes
details_urlYesCitead page that shows this analysis again, without publishing it to the public leaderboard. Give it to the user.
score_meaningYes
remaining_quotaYesFree scores left for this IP address in the current windows.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedOutput schema / properties / criteria / description
      Previous value: -"Score of each of the five criteria, 0 to 100. The overall score is computed from sub-signals of four of these criteria plus freshness, with caps for very short content, so it is not their plain average. Naturalness does not count in the overall score."New value: +"Score of each criterion, 0 to 100, in this order: semantic richness, AI citability, freshness, content organization, authority and citations, and naturalness, which does not count in the score. The overall score is computed from sub-signals of the first five, with caps for very short content, so it is not their plain average."
    • changedOutput schema / properties / details_url / description
      Previous value: -"Citead page with the full breakdown. Give it to the user."New value: +"Citead page that shows this analysis again, without publishing it to the public leaderboard. Give it to the user."
  2. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds genuinely new behavioral context: deterministic rule-based scoring (same content = same score), no LLM involved, no guarantee of citation, no API key, per-IP rate limiting, and exactly what Citead retains (daily outcome counts, blocked-domain names for 45 days, IP counters).

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?

Well front-loaded: fetch action, then return values, then scoring explanation, then constraints. It is long, and the naturalness caveat is stated twice ('naturalness, which does not count in the score' and again 'Naturalness is returned as a criterion but does not count in the score'), which is minor waste.

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?

An output schema exists so return values need not be explained, yet the description still enumerates the criteria and fixes clearly. Combined with privacy, rate-limit, fetchability limits, and the sibling escape hatch, an agent has everything needed to call this correctly and interpret the result.

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% and there is a single required parameter already documented as 'Public http(s) URL of the page to score.' The description reinforces that the URL must be public and fetchable but adds no format, length, or syntax detail beyond the schema. Baseline 3 applies.

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?

Opens with a concrete verb+resource: 'Fetch a public web page and compute its GEO score with Citead.' It also distinguishes itself from its only sibling by stating that login-protected or JS-rendered pages should go to score_text instead, so an agent can route without opening either schema.

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

Usage Guidelines5/5

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

Gives an explicit use condition (public http(s) URL) and an explicit exclusion with the named alternative: pages behind a login or rendered only by JavaScript should use score_text with the page text. The 'free, no API key' note further clarifies the calling context.

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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