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FORGE compliance and business decision tools

forge_competitor_research_method

The method for researching competitors or a market before committing money, and what each finding is worth. Answers "how do I do a competitor analysis?", "how do I research a market before entering it?" and "what will an investor ask me about competitors?" — returns the steps, the six things a competitor publicly reveals, and how to turn a finding into a decision rather than a grid.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionYesWhich decision this is for: researching competitors, deciding whether to enter a market, or answering the competition question in a raise.
competitorCountNoHow many competitors are being considered. Optional.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden, and it does disclose return contents (steps, six public signals, a decision framework). However, it says nothing about determinism, formatting, length, or any operational trait, leaving the disclosure adequate but incomplete for an unannotated tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Everything is a single dense sentence front-loaded with the core purpose, which is good, but the three quoted questions and the 'rather than a grid' flourish add length without proportional information. It is serviceable but heavier than the payload requires.

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, so the description must convey what comes back, and it does so at a high level (steps, six signals, decision framework). Combined with a fully documented 2-param input schema, an agent has enough to call the tool correctly, though output structure remains loosely specified.

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 coverage is 100%, so the schema already documents both the enum choices and the optional competitorCount. The description only restates the three decision contexts the enum already names, adding no syntax or format detail beyond the schema — the correct baseline of 3.

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?

The description names a specific resource ('the method for researching competitors or a market') and states what it yields ('the steps, the six things a competitor publicly reveals, and how to turn a finding into a decision'). It is clearly a research-method tool distinct from the financial calculators in the sibling set, though it never names a sibling explicitly.

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?

It frames usage through concrete trigger questions ('how do I do a competitor analysis?', 'how do I research a market before entering it?', 'what will an investor ask me about competitors?') that map onto the three enum values, and gives the timing cue 'before committing money.' There is no explicit when-not guidance or named alternative, so it stops short of a 5.

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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