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DeepBlueCoding

MCP Dota 2 Match Analysis Server

get_match_timeline

Fetch time-series data for a Dota 2 match by match ID, providing detailed game events and stats for analysis.

Instructions

Get time-series data for a Dota 2 match.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
match_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNo
playersNo
successYes
match_idNo
team_graphsNo
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states that the tool 'gets' data (implying a read-only operation), but does not disclose whether authentication is required, how the time-series data is structured, whether there are pagination or rate limits, or any other behavioral traits. The output schema is mentioned but not described in the tool definition.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence with no fluff, which is efficient. However, it is under-specified and does not convey enough context to be genuinely useful. It is concise but not adequately informative, so it falls in the middle.

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 the large set of sibling tools and the lack of annotations, the description is too sparse to help an agent select the correct tool. There is no mention of what makes this timeline unique, what data points are included, or how it differs from similar tools like get_position_timeline or get_snapshot_at_time. Even with an output schema, the description's ambiguity leaves a significant gap in context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It does not explain the match_id parameter beyond the implicit connection to 'a Dota 2 match'. The schema only says 'integer' and 'required', and the description does not add constraints, valid ranges, or clarify that match_id is the unique identifier for the match. This is minimal semantic value.

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 clear verb ('Get') and resource ('time-series data for a Dota 2 match'), which directly conveys the tool's purpose. However, it does not differentiate this tool from siblings like get_position_timeline or get_stats_at_minute, both of which could be considered time-series data. The description is clear but lacks distinguishing scope.

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 provides no information about when to use this tool versus the many sibling tools. It does not mention alternatives, exclusions, or typical use cases. An agent is left without guidance on whether to pick this or get_snapshot_at_time, get_teamfights, etc.

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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