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datasets_steam_achievements_search

Read-only

Search the Steam achievements dataset (per-game global unlock percentages).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoResult page number, 1-based, default 1; page times page_size must not exceed 10000.
sortNoOptional sort order. Allowed values: percent_desc (most-unlocked first, default), percent_asc (rarest first), rank_asc.
app_idNoOptional exact Steam app id filter; pass an app id to list its achievements.
page_sizeNoPage size, default 20, max 100; page times page_size must not exceed 10000.

Output Schema

TableJSON 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. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds the useful detail that the data is per-game global unlock percentages, but says nothing about pagination limits, rate limits, or result ordering behavior beyond what the schema provides.

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?

A single front-loaded sentence with zero waste. It is appropriately sized for a simple search tool, though it is arguably too terse given the tool's dataset context.

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?

An output schema exists so return values need not be explained, annotations cover the safety profile, and the schema fully documents parameters. The description is complete enough to call the tool correctly, with the only gap being cross-sibling usage guidance.

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 description coverage is 100%, so all four parameters are already documented in the schema (page, sort, app_id, page_size with defaults and caps). The description adds no parameter meaning beyond the schema, so the baseline 3 applies.

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 (Search) and resource (Steam achievements dataset) and clarifies the content as per-game global unlock percentages, which distinguishes it from siblings like datasets_steam_games_search. It does not explicitly name alternative Steam dataset tools, but the resource is unambiguous.

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?

The description gives no when-to-use guidance, prerequisites, or alternatives. The only hint that app_id can list a game's achievements lives in the schema, not the description. An agent must infer context entirely from the name.

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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