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Companies with a filed reason to buy from you

find_buyers_now
Read-onlyIdempotent

Give the website of the business you sell for. MentionFox reads it to learn what you sell, then searches recent filed events for up to 10 companies with a reason to buy from you now: new funding filings, a new chief executive, finance chief, operations chief or general counsel, IPO filings, activist stakes of 5% or more, layoff filings and state layoff notices, crowdfunding raises and new Y Combinator companies. US companies only. Investment funds and real estate filings are left out. Every result carries the record it came from (record_url, for example the SEC filing or the state notice list), so you can check it yourself; the why_now line is written from that record, and fit is a short note on why the company matches what you sell. searched_feeds lists every feed searched with the date of its newest record. Fewer than 10 means fewer were found; the list is never padded. Costs 1 credit when companies come back; a search that finds none costs nothing. The same search is free to try at https://mentionfox.com/buyers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe website of the business you sell for, for example acme.com.
daysNoHow far back to look: 30 or 90 days.
limitNoAt most this many companies.
stateNoOptional. A two-letter US state code (for example TX) to keep only companies based there.
trigger_typesNoOptional. Only these kinds of event (layoff covers layoff filings and state layoff notices). Left out, the kinds that fit what you sell are chosen for you.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already declare readOnly/idempotent/openWorld, but the description adds real behavioral value beyond them: cost of 1 credit only when results return, zero cost on empty results, a never-padded result list, US-only scope, and excluded filing categories. That is exactly the extra context an agent needs before spending credits.

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?

Dense and long, but every clause carries information: scope, exclusions, provenance fields, and billing rules are front-loaded. Only the free-trial URL and some prose flourishes could be trimmed without loss.

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?

With no output schema, the description names the returned fields (record_url, why_now, fit, searched_feeds) and what their absence/short list means, so an agent knows exactly what a correct call yields. Nothing essential for invocation or interpretation is missing.

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?

Schema coverage is 100%, so the baseline is 3, but the description goes further by enumerating the event kinds (funding filings, new C-level, IPO, activist 5%+, layoffs, crowdfunding, YC) that map onto the trigger_types enum values and explaining that unspecified types default to a fitted selection. It does not clarify the 30/90-day option, but adds meaningful enum semantics.

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: takes your website, learns what you sell, and searches recent filings for up to 10 companies with a reason to buy. This is clearly distinguishable from siblings like enrich_person or get_dossier, which are not prospecting tools.

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

Usage Guidelines4/5

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

Explains the required input (your business website), the sourcing model, and constraints (US companies only, funds and real estate excluded, free trial link). It gives clear context for when the tool applies, though it never explicitly names a sibling tool to use instead for adjacent needs.

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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