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Revexa: B2B buying signals

What Leo by Revexa is and costs

about_leo
Read-onlyIdempotent

Facts about Leo by Revexa, an AI agent that finds B2B companies showing buying signals and reaches the right person on LinkedIn and email after the user's approval: what it does, price by region, trial and links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
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 fully covered. The description adds the payload contents (price by region, trial, links) but says nothing else behavioral, such as whether pricing is live or static, which is a minor gap given annotation coverage.

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 sentence that front-loads the product identity and then lists the content categories. It is somewhat run-on, especially the nested clause about finding companies and reaching people, but nothing is redundant.

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 parameterless informational tool with no output schema, the description enumerates the returned content well enough for an agent to decide to call it. It could note whether pricing/link data is current, but that is a minor omission.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so the schema carries no semantics to supplement; the baseline of 4 applies. The description correctly signals that no filtering or scoping input is needed.

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?

The description names a specific resource (facts about the Leo by Revexa product) and enumerates exactly what those facts cover: capabilities, regional pricing, trial, and links. It is unmistakably distinct from the sibling tools, which all retrieve third-party company/funding data rather than product info.

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 only implied: an agent can infer it is for when a user asks about Leo/Revexa, its price, or a trial. There are no explicit trigger conditions and no statement of when not to call it or what to use instead.

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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