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Player Matches

player_matches
Read-onlyIdempotent

Fetch a Dota 2 player's recent match history by Steam account id. Returns one row per match: match id, duration, start time, game mode, Radiant win flag, plus this player's heroId, side, win/loss, K/D/A, last hits, GPM/XPM, level and IMP. Supports pagination via take/skip.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skipNo
takeNo
_apiKeyYesYour own STRATZ API token (BYO — Pipeworx does not supply one). Free at https://stratz.com/api after Steam sign-in.
steam_account_idYes

TDQS

A4/5.0
Behavior4/5

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

Annotations already communicate read-only, open-world, idempotent, and non-destructive behavior. The description adds concrete behavioral detail beyond that: one row per match, a field list, and pagination via take/skip. It does not cover result limits or edge cases, but the annotations lower the burden.

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?

Two sentences with no filler: the first states the primary action and resource, the second covers output shape and pagination. Every sentence earns its place and the description avoids repeating schema details.

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?

For a read-only history tool with no output schema, the description is nearly complete: it specifies the input identifier, optional pagination, and the exact row contents. It only omits secondary details like default page size and the recency window for 'recent' matches.

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 only 25%, since only _apiKey has a description. The description compensates partially by identifying steam_account_id as the lookup key and explaining take/skip as pagination controls, but it leaves numeric ranges, defaults, and maximum page size undocumented.

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 opens with a specific action and resource: 'Fetch a Dota 2 player's recent match history by Steam account id.' It clearly distinguishes this tool from sibling tools like player_heroes and live_matches by scope, and it enumerates the exact returned fields.

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?

It implies when to use the tool — whenever a player's recent match history is needed for a Steam account — but it does not explicitly name sibling alternatives or exclusion conditions. The pagination note is a how-to detail rather than guidance on choosing this tool over alternatives.

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

B3.3/5.0
Disambiguation2/5

Several tools have overlapping or intentionally duplicated purposes: ask_pipeworx/ask_pipeworx_beta currently behave identically, and the Polymarket cluster (bet_research, polymarket_arbitrage, polymarket_edges, polymarket_fill_risk, polymarket_kalshi_spread) presents multiple scanners with fuzzy boundaries. The long descriptions help, but the set as a whole is hard to navigate without close reading.

Naming Consistency2/5

Naming is a mix of bare single nouns (hero, match, meta, remember, forget), snake_case verb-first names (ask_pipeworx, compare_entities, generate_llms_txt), and noun-first compounds (pipeworx_feedback, bet_research, scan_competitor_ai_presence). There is no consistent verb_noun or noun-verb convention across the set.

Tool Count2/5

At 43 tools, the server bundles at least five unrelated domains (Dota 2 stats, Pipeworx data querying, Polymarket analytics, memory, subscriptions, AI visibility). That is far too many for a focused MCP server, and the mix makes the surface feel like a grab bag rather than a purpose-built toolkit.

Completeness4/5

Each subdomain individually has solid coverage: Dota 2 has heroes/matches/players/tournaments/meta plus a GraphQL fallback, the data layer has discovery + routing + grounding + validation, and memory/subscriptions have full lifecycle operations. The only real gap is cohesion across domains; within each slice there are no obvious dead ends.