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Companies

companies
Read-onlyIdempotent

List or filter video game companies in Giant Bomb by API filter expression; returns company name, deck, founding date, and location. NOTE: API offline as of 2026-05.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
filterNo
offsetNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoError message if request failed
limitNoResults limit
offsetNoResults offset
resultsNoArray of company results
versionNoAPI version
status_codeNoHTTP status code
number_of_page_resultsNoNumber of results on current page
number_of_total_resultsNoTotal results available

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed2 schema fields changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "limit": 25
      +  }
      +]
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "description": "List of companies with filtering",
      +  "properties": {
      +    "error": {
      +      "description": "Error message if request failed",
      +      "type": "string"
      +    },
      +    "limit": {
      +      "description": "Results limit",
      +      "type": "number"
      +    },
      +    "number_of_page_results": {
      +      "description": "Number of results on current page",
      +      "type": "number"
      +    },
      +    "number_of_total_results": {
      +      "description": "Total results available",
      +      "type": "number"
      +    },
      +    "offset": {
      +      "description": "Results offset",
      +      "type": "number"
      +    },
      +    "results": {
      +      "description": "Array of company results",
      +      "items": {
      +        "properties": {
      +          "deck": {
      +            "description": "Short description",
      +            "type": "string"
      +          },
      +          "guid": {
      +            "description": "Globally unique identifier",
      +            "type": "string"
      +          },
      +          "id": {
      +            "description": "Company ID",
      +            "type": "number"
      +          },
      +          "image": {
      +            "description": "Company image data",
      +            "type": "object"
      +          },
      +          "name": {
      +            "description": "Company name",
      +            "type": "string"
      +          },
      +          "url": {
      +            "description": "Giant Bomb URL",
      +            "type": "string"
      +          }
      +        },
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "status_code": {
      +      "description": "HTTP status code",
      +      "type": "number"
      +    },
      +    "version": {
      +      "description": "API version",
      +      "type": "string"
      +    }
      +  },
      +  "type": "object"
      +}
  2. 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 readOnlyHint, openWorldHint, etc. The description adds the critical behavioral trait 'API offline as of 2026-05' and specifies return fields, which goes beyond the annotations.

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?

The description is two sentences long, contains no fluff, and immediately conveys the core functionality and a critical note.

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?

Given the presence of an output schema and only 3 optional parameters, the description sufficiently covers purpose and the offline note, though it lacks detail on filter syntax which could impair agent usage.

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

Parameters2/5

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

With schema_description_coverage at 0%, the description must compensate for parameter meaning, but it only vaguely mentions 'API filter expression' and does not explain how to construct the filter string or what the limit/offset parameters control.

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 clearly states 'List or filter video game companies in Giant Bomb by API filter expression' with a specific verb and resource, and it distinguishes the tool from siblings by naming the data source and filter capability.

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 description provides clear context for using the tool (listing/filtering companies) and notes the API is offline, but does not offer when-not-to-use guidance or mention alternatives among sibling tools.

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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TDQS

C2.8/5.0
Disambiguation2/5

Several tool families have blurry boundaries: ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research, discover_tools, and suggest_questions all route into the same underlying catalog with only subtle differences, and the six polymarket_* tools overlap heavily (edge scanning vs. fill-risk vs. arbitrage vs. cross-venue spread). Compounding this, the server is named 'Giantbomb' but only 7 of 38 tools relate to that domain, so an agent cannot predict what this server does from its name.

Naming Consistency3/5

All tool names are snake_case, which helps, but the verb pattern is inconsistent: verb_noun (list_subscriptions, resolve_entity, validate_claim), bare verbs (remember, recall, forget), noun-prefix subjects (entity_profile, pipeworx_feedback, polymarket_edges, recent_changes), and even a versioned name (ask_pipeworx_beta) that breaks its own family's pattern. There is no predictable naming scheme an agent could use to guess a tool's name.

Tool Count2/5

38 tools is well past the 25+ 'too many' threshold, and the count is split across two unrelated concerns: ~7 Giant Bomb tools (several explicitly marked 'API offline as of 2026-05') and ~31 tools for a Pipeworx data-research and Polymarket-trading platform. The number is not merely heavy; it serves no single coherent purpose.

Completeness2/5

For the declared Giant Bomb domain, the surface is incomplete (missing videos, franchises, reviews, people, and other known resource types) and largely dead since the underlying API is offline. The Pipeworx half is comparatively complete with routing, grounded answers, research, memory, subscriptions, and feedback, but that coverage is attached to the wrong server identity and does not fill the gaps in the claimed purpose.