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get_player_pros

Lists professional Dota 2 players that a specific player has played with or against, along with their team affiliations, by providing the player's Steam32 account ID.

Instructions

Professional players this player has played with or against, with team affiliations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results to return.
account_idYesSteam32 account id (the number after /players/ in an OpenDota profile URL, or from search_players).
Install Server

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are present, so the description bears full responsibility for behavioral disclosure. It mentions team affiliations as part of the output but doesn't state whether results are ordered, paginated, or limited by the limit parameter. No side effects or special behavior are disclosed.

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?

The description is a single concise sentence with no fluff. Every word contributes to the core meaning. It's short but not under-specified to the point of being unusable, though additional detail would be helpful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema and no annotations, the description doesn't explain return format, result structure, or how the limit parameter affects results. For a simple list endpoint, baseline information exists but lacks context about data shape and usage scenarios, making it incomplete for an agent to fully anticipate behavior.

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 both parameters are already well-documented in the schema. The description adds no extra semantic meaning beyond what the schema provides, but the schema itself is sufficient. Baseline of 3 is appropriate.

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 states a specific resource ('professional players') and the relationship ('played with or against'), which clearly differentiates from many siblings like get_player_matches or get_player_ues. However, it lacks an explicit verb like 'list' or 'retrieve', so it's somewhat implicit but still clear.

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?

No guidance on when to use this tool versus alternatives such as get_player_peers or get_pro_players. The description doesn't mention any usage context, prerequisites, or exclusions.

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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