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Revexa: B2B buying signals

This week's B2B funding rounds

recent_b2b_funding_rounds
Read-onlyIdempotent

Lists B2B companies in Europe and the US that announced funding rounds this week, with amount, round, country, what the company does and the source article. Collected weekly from open news feeds (tech.eu, EU-Startups, TechCrunch and others).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
regionNoany

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already cover readOnly/idempotent/openWorld/destructive, so the bar is lower, yet the description adds genuinely useful traits: the upstream sources (tech.eu, EU-Startups, TechCrunch) and the weekly collection cadence, which tells the agent the data is a curated snapshot rather than a live query. It stops short of noting update lag or whether results are ordered.

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 sentence, front-loaded with the verb and scope, with the returned fields and the data provenance packed in without waste. Nothing is padded or repeated from the title.

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 only two optional params, no nested objects and no output schema, the description covers the essentials: scope, geography, cadence, fields returned and sources. It would be fully complete with a note on freshness/lag or result ordering, but that is a minor gap for a read-only list tool.

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 0%, but the semantics are largely recoverable from structured data: the region enum values are self-describing, and limit carries default/min/max constraints. The description reinforces the region dimension ('Europe and the US') but says nothing about how region='any' behaves or what limit actually caps, so it does not fully compensate.

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?

States a specific verb and resource ('Lists B2B companies... that announced funding rounds this week') plus the geography and cadence. The scope is narrow and unambiguous, and the nearby siblings (about_leo, find_startups_hiring_sales) are so different that no explicit disambiguation is needed.

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?

The 'this week' + 'collected weekly' framing implies the appropriate use case (a recurring weekly digest rather than historical lookup), but the description never states when to use this versus another tool, nor any exclusion such as 'this does not cover earlier weeks'.

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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