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RivalSweeper Signals

AI-readiness score

get_ai_agent_readiness_score
Read-onlyIdempotent

RivalSweeper 6-pillar AI/agent-readiness score for a domain (schema.org, technical access, content quality, trust, AI-specific, entity recognition) with tier and highlights. Uniquely RivalSweeper data. Included in RivalSweeper plans (developer API keys: 1 credit, no data = no charge).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesDomain to score

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint, so the safety profile is covered. The description adds genuinely useful context the annotations don't: credit cost for developer API keys and the 'no data = no charge' billing rule, plus a note that the data is uniquely RivalSweeper. It does not describe output shape beyond 'tier and highlights'.

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?

Two sentences, front-loaded with the core purpose and pillar breakdown. The billing/credit clause is relevant but slightly dilutes the core message; overall it is efficient with little waste.

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?

For a single-parameter read tool with no output schema, the description is fairly complete: it names the pillars and mentions the returned tier and highlights. It does not detail the full return structure, but annotations cover the safety profile, leaving only minor gaps.

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% with a single 'domain' parameter, so the schema already documents the input. The description adds no syntax, format, or normalization details beyond what the schema provides, matching the baseline of 3 when the schema does the heavy lifting.

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+resource: an AI/agent-readiness score for a domain, and enumerates the six pillars (schema.org, technical access, content quality, trust, AI-specific, entity recognition). This is distinguishable from siblings like get_ai_model_citation_rate or get_how_ai_models_describe_brand, though the description never explicitly names those alternatives.

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?

There is no when-to-use guidance or mention of alternatives among the many sibling tools. The only contextual information is plan/billing-related ('included in RivalSweeper plans', '1 credit'), which addresses cost rather than when this tool is the right choice.

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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