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Crawlora MCP

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steam_app

Fetch Steam store details for one app by ID, with region/language options and field filters for title, price, developers, platforms, genres, and release date.

Instructions

Get Steam store details for an app. Returns 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.

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

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.5.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the returned field set and explains that cc drives region/currency and filters shrinks the payload, which is useful behavioral context. However, it never states the operation is read-only, nor mentions rate limits or auth requirements, so key behavioral traits are left implicit.

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?

Three sentences, front-loaded with purpose and return contents, then parameter behavior. Every sentence carries information, though the parenthetical field list is somewhat long.

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, but the description enumerates the returned fields and explains all four parameters, which is sufficient for an agent to invoke it correctly. The main gap is the absence of usage context relative to sibling tools.

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 adds real meaning beyond the terse schema: cc is tied to both store region and price currency, l selects text language, and filters is described as a comma-separated subset used to shrink the payload. This clarifies intent and effect rather than restating the schema.

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 uses a specific verb+resource ("Get Steam store details for an app") and clarifies scope as "a single Steam app," which separates it from list/search siblings. It does not explicitly name or contrast with siblings like steam_search, steam_package, or steam_players, so an agent must infer the distinction.

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

Usage Guidelines2/5

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

There is no explicit when-to-use guidance, no mention of where the appid comes from (e.g., steam_search), and no stated exclusions versus other steam_* tools. The usage is only implied by the word "single app."

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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