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Pickrate direct-booking hotels

Check agent readiness

check_agent_readiness
Read-onlyIdempotent

Scan any hotel or travel website and report how well AI agents can read, price and book it directly: a 0-100 score, what works, and the top fixes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe hotel's website or its page inside a chain site

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is covered. The description adds that it produces a score plus findings, but says nothing about scan duration, rate limits, or what 'the top fixes' concretely contain.

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?

A single front-loaded sentence naming the action, target and output. Efficient, with only a slightly dense colon-delimited output list.

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?

There is no output schema, and the description compensates by describing the return (0-100 score, what works, top fixes). For a one-parameter read-only audit tool this is reasonably complete, though it omits any caveats about scan scope or limitations.

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 url parameter already documented as 'The hotel's website or its page inside a chain site'. The description adds no further constraint or format detail beyond the schema, 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: 'Scan any hotel or travel website and report how well AI agents can read, price and book it directly.' The audit/readiness purpose is distinct from the retrieval siblings get_hotel and search_hotels, though it does not name them to clarify the boundary.

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 by the described output (a readiness score and fixes), but there is no explicit when-to-use or when-not-to-use guidance, and no mention of how it relates to the sibling lookup tools.

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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