Skip to main content
Glama
Sign In

Crawlora MCP

by net.crawlora
OverviewDiscussionsAdmin

steam_app

Read-only

Returns normalized store metadata for a single Steam app (title, type, price, developers/publishers, platforms, genres, categories, release date, metacritic, recommendation and achievement counts). cc selects the store region (and price currency) and l the text language. filters is a comma-separated subset of allowed fields to shrink the payload. Credential-free public Steam storefront JSON. appid: Numeric Steam app id. Use steam_search to search the Steam store by title.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "appid": "<appid>"
    },
    "name": "steam_app"
  }
}

Input Schema

NameRequiredDescriptionDefault
lNoLanguage code
ccNoStore country code (ISO, selects currency)
appidYesNumeric Steam app id
filtersNoComma-separated fields: basic, price_overview, developers, publishers, categories, genres, release_date, platforms, metacritic, achievements, screenshots, movies, recommendations, controller_support, dlc, short_description, supported_languages, packages, package_groups, ratings, content_descriptors, background

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • addedInput schema / properties / appid / description
      Added value: +"Numeric Steam app id"
    • addedInput schema / properties / cc / description
      Added value: +"Store country code (ISO, selects currency)"
    • addedInput schema / properties / filters / description
      Added value: +"Comma-separated fields: basic, price_overview, developers, publishers, categories, genres, release_date, platforms, metacritic, achievements, screenshots, movies, recommendations, controller_support, dlc, short_description, supported_languages, packages, package_groups, ratings, content_descriptors, background"
    • addedInput schema / properties / l / description
      Added value: +"Language code"
  2. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already mark readOnlyHint and openWorldHint, so the safety profile is covered. The description adds 'Credential-free public Steam storefront JSON', which tells the agent no auth is needed and data comes from the public storefront, plus how cc/l/filters change behavior.

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?

Front-loads the return payload first, then parameter semantics, then auth context, then the routing hint. Every sentence carries information with no filler.

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?

An output schema exists, so return values need not be detailed, yet the field list is still given. Combined with annotations, the description covers behavior, params, and sibling routing completely for a single-record lookup tool.

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 baseline is 3, but the description adds genuine meaning: 'cc selects the store region (and price currency)', 'l the text language', and 'filters ... to shrink the payload' explain intent beyond the terse schema strings.

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 ('Returns normalized store metadata for a single Steam app') and enumerates exactly which fields come back. It explicitly distinguishes itself from the sibling steam_search, which searches by title.

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?

Clearly routes the agent: 'Use steam_search to search the Steam store by title' tells when to prefer the alternative. It lacks an explicit when-not condition or prerequisite statement, but the alternative routing is stated plainly.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All Crawlora MCP toolsInspect
Try in Browser
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources