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Igdb Companies

igdb_companies
Read-onlyIdempotent

Find video-game companies in IGDB by name — developers, publishers, studios — with country, founding date, description, logo, and how many games each developed and published, with a sample of titles. Answers "who made this" and "what else has this studio shipped". Example: igdb_companies({ query: "Nintendo" }).

Input Schema

NameRequiredDescriptionDefault
limitNoMax companies to return, 1-50. Default 10.
queryYesCompany name or part of one, e.g. "Nintendo", "FromSoftware".
_apiKeyNoTwitch app credentials as "CLIENT_ID:CLIENT_SECRET" (IGDB is gated by Twitch OAuth). Optional — omit to use the shared Pipeworx credential. Get your own at https://dev.twitch.tv/console.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld, non-destructive, so safety is covered. The description adds genuine value by disclosing what the response contains — aggregate developed/published counts and sample titles — beyond what the annotations provide.

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?

Front-loaded with the verb and resource, followed by return fields, a usage framing, and a compact call example. The field enumeration is long but each item earns its place by describing output.

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?

No output schema exists, so the description carries the return-value burden and does so well by listing fields, counts, and sample titles. Auth (_apiKey) is handled in the schema. Adequate for a simple lookup 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 coverage is 100%, so the schema fully documents query and limit. The description reinforces name-based lookup via the example but adds no syntax or format detail beyond the schema. Baseline 3 when the schema does the heavy lifting.

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 ('Find') and resource ('video-game companies in IGDB'), and enumerates the returned fields (country, founding date, description, logo, game counts). It is distinguishable from siblings like igdb_game by resource type, but never explicitly names 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 Guidelines4/5

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

Frames the tool around the questions it answers ("who made this", "what else has this studio shipped"), which gives clear usage context. It stops short of naming alternatives or when-not-to-use conditions.

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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